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1

Sosianika, Adila, Euis Sartika, and Fatya Alty Amalia. "THE ROLE OF SCIENTIFIC CALCULATORS IN IMPROVING STATISTICS LEARNING." Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika 4, no. 2 (2023): 764–75. http://dx.doi.org/10.46306/lb.v4i2.282.

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In its development, Business Statistics has used several types of technology to facilitate the learning process for students, such as statistical software, spreadsheets, calculators, multimedia materials, and data repositories. The calculator includes computer technology with a simple version but allows students to experience an active learning process. Thus, the calculator media was chosen as the main learning media in business statistics courses, including in evaluating student abilities. Therefore, this study aims to determine the effectiveness of using calculators in Business Statistics courses. The research was conducted using a mix method, namely qualitative (questionnaire) and quantitative (experimental). The results showed that there was an increase in the average value of Simple Linear Regression for groups of students who used statistical applications on calculators compared to groups who did not use calculators. Based on the results of the questionnaire and suggestions, it was found that 87.7% of students considered it easy to understand the Business Statistics application questions, when using the statistical application on a calculator. Suggestions made by students were the availability of guidelines for using statistical calculator applications for practice, and the availability of calculators in the research laboratory that students could use for practice
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Roman, AdrielG. "CONJECTURING HIGHER COMPETENCIES IN STATISTICS USING SCIENTIFIC CALCULATOR." International Journal of Advanced Research 6, no. 11 (2018): 580–84. http://dx.doi.org/10.21474/ijar01/8033.

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Arismika, Ihda Ulfah, Iyan Irdiyansyah, and Entis Sutisna. "STUDENTS’ DIFFICULTIES IN UNDERSTANDING STATISTICAL CALCULATION." Journal of English Teaching and Linguistics Studies (JET Li) 3, no. 1 (2021): 36–40. http://dx.doi.org/10.55215/jetli.v3i1.3416.

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The paper entitled “Students’ Difficulties in Understanding Statistical Calculation” is conducted to analyze the students’ difficulty in understanding statistical calculation and the causes of it. The research is applied to the seventh semester students of English Education Study Program, Faculty of Teacher Training and Educational Sciences, Pakuan University. Students who got low score in statistics subject are chosen as the participants. Descriptive method is used in conducting this research. Questionnaire and interview are used to collect the data of this research. The result of this research shows that the students get difficulties in understanding statistical calculation. The problems are students are not able to answer statistics questions. Additionally, they are not able to understand the statistical formulas, not able to use scientific calculator, and not able to absorb the material that was taught well. Then, the causes are they are not interested in statistical calculation, they are not taught by interesting method, they were weak in calculating, and they are not familiar with scientific calculator.
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Olquin, Reynan. "Examining the Impact of Statistical Features on Grade 11 Students' Performance in Statistics Using Calculators." Journal of Interdisciplinary Perspectives 2, no. 1 (2023): 66–70. https://doi.org/10.5281/zenodo.10440803.

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<em>This research investigates how feature characteristics affect the academic achievement of Grade 11 students in the field of statistics, with a particular emphasis on the role played by the use of calculators. The control group utilized various scientific calculators that are typically employed in statistics classes. The experimental group utilized the statistical functionalities of the advanced calculator. The objective of this study is to ascertain the impact of statistical characteristics of calculators on the academic achievement of grade 11 students in the field of statistics. The study aimed to determine whether there was a notable disparity between the pretest scores of the two groups.&nbsp; Is there a substantial disparity between the pretest and posttest scores of the groups? Is there a&nbsp; substantial disparity in the gain scores between the two groups? Furthermore, provides a comprehensive assessment of the study. The study's findings indicate a notable disparity in the utilization of various statistical functions on calculators. The experimental group demonstrated superior performance and adeptly utilized the statistical aspects of advanced calculators. The students in the Control group had challenges when attempting to solve the z-test and p-value. The statistical functionality of advanced calculators becomes valuable in advanced statistical topics.</em>
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Suglo, Enoch Kabinaa, Isaac Aligi, Amoak Adungbasui Derick, Ebenezer Agudey Akuteye, Sarah Akanbang, and Rupert Amamboda. "The Impact of Introducing Scientific Calculators to Junior High School Graduates on Their Academic Performance in Mathematics." East African Journal of Education Studies 7, no. 4 (2024): 500–514. http://dx.doi.org/10.37284/eajes.7.4.2366.

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Scientific calculators are commonly and widely used tools in senior high schools, offering students the ability to perform mathematical calculations faster and more efficiently. This study aimed to investigate the Impact of Scientific Calculators usage on Junior High School graduates Performance in Mathematics. The study was purely quantitative hence data was collected through survey questionnaires and a mathematics achievement test. The study's accessible population size and sample size consisted of 280 and 162 respectively. The sample of 162 students was selected using a systematic random sampling method. Data collected were analysed using descriptive statistics, a simple linear regression model, and a paired sample t-test. The study found a significant difference in students' test scores before and after the use of scientific calculators, t (162) = 17.199, p &lt; .001, leading to a rejection of the null hypothesis. Additionally, a significant correlation was found between calculator usage and students' achievement test scores, F (162) = 24.614; p &lt; .001. Based on these findings, the study recommended that the Ghana Education Service consider allowing and granting permission to schools to incorporate the use of scientific calculators into the teaching and learning of mathematics at the junior high level. This would enhance students' mathematics learning and academic performance. Furthermore, teachers at the senior high school level should introduce enrolled junior high school graduates in Form One to the proper and efficient use of scientific calculators. Students should be taught how to use calculators to solve simple mathematical questions, which would facilitate effective teaching and learning of mathematics
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Okulich-Kazarin, Valery. "New chatGPT 3.5 Instruction (Prompt) to Calculate Statistical Indicators for Student Graduation Projects." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 12 (May 28, 2024): 307–17. http://dx.doi.org/10.37394/232018.2024.12.30.

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The paper aims to develop a new chatGPT 3.5 instruction (prompt) for computing statistical indicators in student graduation projects. A bibliometric analysis of 79606 sources published in the Scopus database revealed a high level of interest in solving problems related to "graduation projects" and "statistical indicators." Numerous studies emphasize the importance of probability and statistics education. Concurrently, educators are advised to abandon teaching manual calculation methods to students. ChatGPT could serve as a modern tool for computing statistical indicators. Modern methods employed in this research included reviewing scientific literature, analysis and synthesis, bibliometric analysis, mathematical modeling, computation of statistical indicators, and verification of statistical hypotheses using Z-statistics. Five examples of calculating statistical indicators are provided in this paper. Three tools were used for computing statistical indicators, with the new chatGPT 3.5 instruction (prompt) serving as the experimental method, while Excel tables and Windows calculator were used as control methods. Verification of statistical hypotheses using Z-statistics demonstrated the equality of results between experimental and control methods. The standard testing level was set at α = 0.05. The novelty of this work lies in the creation of the new chatGPT 3.5 instruction (prompt) for computing statistical indicators in student graduation projects. Additionally, a User's Guide has been published. The practical value of this work lies in reducing the time and simplifying the method for computing statistical indicators in preparing graduation projects, as well as in improving their quality. An additional benefit is the expanded use of computers for educational purposes.
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Sviridova, Ol'ga Viktorovna, Aleksandr Aleksandrovich Rybanov, and Evgeniya Mikhailovna Filippova. "Development of the structure of information system for supporting the activity of nonprofit horticultural partnerships." Программные системы и вычислительные методы, no. 3 (March 2021): 25–39. http://dx.doi.org/10.7256/2454-0714.2021.3.35834.

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The developed automated system of information support for nonprofit horticultural partnerships (NHP) is intended for automation of management accounting of the economic activities of NHP. The effective management of the activity of nonprofit horticultural partnerships requires operating full, accurate, objective and timely economic information. This can be achieved through management accounting of the economic activity of NHP. The subject of this research is the methods of automation of control, monitoring and support of the establishment of management reporting of NHP. The object of this research is the information systems functioning within the &amp;ldquo;client-server&amp;rdquo; architecture. The research methods include the apparatus of relational algebra, theory of sets, optimization and mathematical statistics. It is noted that the activity of many NHP is carried out in the so-called &amp;ldquo;manual mode&amp;rdquo;, i.e. all necessary documents the employees fill by hand, and all calculations are by means of calculator. This substantiates the relevance of this research. Leaning on the conducted comparison of software products-analogues based the Saati method, the software &amp;ldquo;Info-Accountant for NHP&amp;rdquo; is chosen as a prototype. The author determines and describes the main algorithms of the developed system, the peculiarity of which is the formation of balance sheet and reports of its implementation, calculation of membership fees, introduction of the function of subsystem of NHP reference books(of the owners of land plots, streets, tariffs, expenditures, etc.). The output data is provided in form of a chart on the display form of the report subsystem. The scientific novelty lies in the suggested approach towards automation of accounting: &amp;nbsp;development of the forecast for pumping up the budget based on the previous periods.
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Begum, Moni, Tania Akter, Jesmin Akhter, et al. "Knowledge Regarding Respectful Maternity Care during Labor among 3rd Year Midwifery Students at Dhaka Nursing College, Dhaka, Bangladesh." IOSR Journal of Nursing and health Science 13, no. 5 (2024): 24–30. http://dx.doi.org/10.9790/1959-1305022430.

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Background: Respectful maternity care (RMC) is the fundamental right of the pregnant mother. It is recommended by the World Health Organization (WHO) and refers to care that maintains dignity, privacy, and confidentiality and ensures freedom from harm and mistreatment. Materials and Methods: This study aimed to assess the level of knowledge regarding respectful maternity care during labour among 3rd-year midwifery students at DNC, Dhaka, Bangladesh. A descriptive cross-sectional study was conducted with a population of 50 students who were conveniently selected from DNC, Dhaka, Bangladesh. A structured, self-administered questionnaire was used for data collection. Data were analyzed using descriptive statistics such as frequency and percentages, mean and standard deviation. This study used an Excel sheet and a scientific calculator for data analysis. Results: The result demonstrated that the mean age of respondents was 21.84 (±0.76) years, ranging from (20- 23) years. 90% of them were Muslim. Only 12% of the respondents were married. Findings showed that among all of the respondents’ (8%) had poor knowledge, (22%) had good knowledge, (18%) had average knowledge, (36%) had very good knowledge and only (16%) had excellent knowledge. The overall mean score for RMC knowledge was 76.2 ± 11.58. Conclusion: The current study concluded that respondents'' understood respectful maternity care well. For strengthening the excellent knowledge of every respondent, there needs OSCA, developing regular training programs, seminars and monitoring feedback regarding RMC is recommended
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Sarwat Jahan, Salman Zahir, Khansa Khan, Abdul Moez, Emad Khan, and Amir Zaman Khan. "Are the discoveries directed to applications? Translating the status of translational research in Peshawar, Pakistan." International Journal of Pathology 22, no. 3 (2024): 110–17. http://dx.doi.org/10.59736/ijp.22.03.903.

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Background: Translational research plays a pivotal role in transforming basic scientific discoveries into practical applications, such as drugs and treatments, to address community health needs. This study aims to assess the awareness and perceptions of translational research among healthcare professionals in Peshawar, Pakistan. Methods: A cross-sectional descriptive design was employed, with data collected between January and July 2023 from public and private tertiary care hospitals in Peshawar, Pakistan. The study was approved by Ethical review board of Northwest School of Medicine via letter number: IRB &amp; EC/2022-SM/074 dated: 15 Nov 2022. A sample size of 472 healthcare professionals was determined using the OpenEpi sample size calculator. The study utilized a self-structured questionnaire covering demographic information, awareness of translational research, and knowledge of its various aspects. Data analysis was performed using SPSS version 26, employing descriptive statistics and a one-sample t-test. Results: The study included 472 participants, with a mean age of 30.8 years, comprising various healthcare roles. Gender distribution showed 62.7% males and 37.3% females. Only 25% of respondents reported familiarity with translational research, while 75% indicated a lack of awareness. Information sources varied, with conferences/seminars (16.1%) and colleagues (5.5%) being prominent. Regarding the understanding of translational research, 64.2% admitted to having no idea. Identified barriers included lack of resources (14.8%), lack of awareness (7.6%), and lack of a sense of responsibility (1.3%). A significant majority (87.3%) reported poor knowledge of translational research, while only 12.7% indicated good knowledge. Conclusion: The findings highlight a substantial lack of awareness and understanding of translational research among healthcare professionals in Pakistan.
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Boston, Kelley M., Misti Ellsworth, Jocelyn Thomas, Tawanna A. McInnis-Cole, and Luis Ostrosky-Zeichner. "95. Impact of Penetrating Trauma on Surgical Site Infection Standardized Infection Ratio (SIR) for Colon Procedures." Open Forum Infectious Diseases 8, Supplement_1 (2021): S60—S61. http://dx.doi.org/10.1093/ofid/ofab466.095.

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Abstract Background Colon surgery (COLO) is one of the focus areas for the the Centers for Medicare and Medicaid Services (CMS) Hospital Inpatient Quality Reporting (IQR) Program. Standardized criteria from the National Healthcare Surveillance Network (NSHN) are used to define surgical site infections (SSI) and to assess and weight standardized risk variables, so that all organizations can be judged to the same standard. Performance is compared though use of a standardized infection ratio (SIR), which is the observed number of infections, divided by the “predicted” number of infections, given the number and type of surgeries performed. Methods A retrospective review of medical records and NHSN documentation was conducted for 778 COLO procedures that were performed at a large academic and level 1 trauma center between January 2019 and December 2020. Initial review of the data showed that the increases in SIR were primarily concentrated in trauma patients with intestinal injury and fecal spillage. SIR for adult procedures were calculated using the NHSN Complex 30-Day SSI Data for IQR Report model, which the metric used by the CMS IQR. The CDC NHSN Statistics Calculator was used to compare SIR for procedures coded as trauma and non-trauma. As a proxy for patients with penetrating trauma, SIR for patients coded as trauma who had a surgical wound class noted as dirty was compared to SIR for patients coded as trauma with surgical wound class coded as contaminated or clean-contaminated. Results For the CMS model, there was a statistically significant difference (p = 0.0003) between SIR for trauma (SIR = 3.451) and non-trauma (SIR = 1.071) procedures. There was also a statistically significant difference (p=0.0014) between trauma procedures with dirty surgical wound class (SIR = 6.608), compared to those with wounds categorized as contaminated or clean-contaminated (SIR = 2.235). NHSN Adult Complex 30 Days SIR comparison for COLO SSI with and without trauma NHSN Adult Complex 30 Days SIR comparison for trauma COLO procedures with dirty wound class description, against COLO procedures with wound class described as clean or clean-contaminated Conclusion Risk factors currently included in the model for COLO SSI may not adequately account for the increased risk from penetrating trauma with fecal spillage. Trauma and wound class should be added to the CMS IQR risk model for SIR. Disclosures Kelley M. Boston, MPH, CIC, CPHQ, FAPIC, Infection Prevention &amp; Management Associates (Employee, Shareholder) Luis Ostrosky-Zeichner, MD, Amplyx (Consultant)Cidara (Consultant)F2G (Consultant)Gilead (Grant/Research Support, Speaker's Bureau)Pfizer (Scientific Research Study Investigator, Speaker's Bureau)Scynexis (Grant/Research Support, Scientific Research Study Investigator)Viracor (Consultant)
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Giese, Alan R. "Heads Up! A Calculation- & Jargon-Free Approach to Statistics." American Biology Teacher 74, no. 5 (2012): 339–40. http://dx.doi.org/10.1525/abt.2012.74.5.10.

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Evaluating the strength of evidence in noisy data is a critical step in scientific thinking that typically relies on statistics. Students without statistical training will benefit from heuristic models that highlight the logic of statistical analysis. The likelihood associated with various coin-tossing outcomes gives students such a model. There is a point at which a majority of students will doubt the underlying fairness of a coin-tossing game, and that student-generated cutoff can be used as a critical value in a nonparametric analysis of paired data. Following this approach, student lab reports come to more closely model scientific thinking.
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Smoke, Steven, Uzma Hasan, Eileen Steffen, and Kamtorn Vangvanichyakorn. "132. Standardized Antimicrobial Administration Ratios to Guide Antimicrobial Stewardship in the Neonatal Intensive Care Unit: a Single Center Experience." Open Forum Infectious Diseases 8, Supplement_1 (2021): S178—S179. http://dx.doi.org/10.1093/ofid/ofab466.334.

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Abstract Background Antimicrobial stewardship (AMS) is particularly challenging in the neonatal population. Both under- and overuse can negatively impact outcomes. There are limited reports of strategies to improve AMS in the neonatal population. Standardized Antimicrobial Administration Ratios (SAARs) are novel metrics of antimicrobial use, recently introduced for neonatal populations by the National Healthcare Safety Network (NHSN). We describe our experience using SAARs to guide AMS in the neonatal intensive care unit (NICU). Methods This was a retrospective study conducted from January 2020 to April 2021. A team consisting of AMS and NICU department staff identified and implemented AMS strategies. Based on a review of NICU SAAR data, a goal was set to reduce third generation cephalosporin use by encouraging aminoglycoside use when appropriate. The pre-implementation period was January 2020 to May 2020 and the post-implementation period was July 2020 to April 2021. Antibiotic use was measured as SAARs and compared between study periods. The primary outcome was the neonatal SAAR for third generation cephalosporins. Secondary outcomes included SAARs for aminoglycosides and all neonatal antibacterial agents. SAARs were compared using the NHSN Statistics Calculator. Results For third generation cephalosporins, there were 385 observed antimicrobial days (OAD) and 115 expected antimicrobial days (EAD) in the pre-implementation period compared to 597 OAD and 228 EAD in the post implementation period. This resulted in a SAAR of 3.34 and 2.62, respectively; a reduction of 22% (p &amp;lt; 0.001). For aminoglycosides, there were 713 OAD and 584 EAD compared to 1617 OAD and 1155 EAD. This resulted in a SAAR of 1.22 and 1.4; an increase of 15% (p = 0.002). For all neonatal antibacterial agents, there were 2716 OAD and 1739 EAD compared to 5321 OAD and 3438 EAD. This resulted in a SAAR of 1.56 and 1.55; indicating no change in use (p = 0.70). See Table 1 for results. Table 1. Antibiotic Use Conclusion While this initiative resulted in decreased use of third generation cephalosporins, this was not associated with a decrease in antibiotic use overall. Use of SAARs in the NICU may be helpful in both identifying opportunities to improve antibiotic use and monitoring antibiotic use over time. Disclosures Steven Smoke, PharmD, Karius (Advisor or Review Panel member) Shionogi (Scientific Research Study Investigator, Advisor or Review Panel member)
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Xiang, Guosheng, Huajian Li, Yinkang Zhou, and Zhe Huang. "Thermal Conductivity of Fractal-Textured Foamed Concrete." Fractal and Fractional 7, no. 6 (2023): 475. http://dx.doi.org/10.3390/fractalfract7060475.

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To provide scientific guidance for the use of foamed concrete (FC) in construction engineering, a thermal conductivity calculation method, based on the fractal model of FC, has been developed. The thermal conductivity (TC) of FC has been tested by the transient planar heat source method in order to verify the reliability of the proposed calculation model. The FC was made of cement, fly ash, and ore powder, and cured under natural conditions for 7 d, 14 d, 28 d, and 42 d, respectively. The TC of FC gradually decreases with the increase in age. The fractal dimension of FC can be determined by both the box-counting method and compressive strength test, and the dimensions determined by both methods are similar. The TC of FC at different porosities and curing ages can be calculated by the fractal dimension, and the estimated values are basically consistent with the test data.
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Wen, Zhong Hua, Juan Zhou, and Ming Xiao Jia. "Study on Relation of Structural Reliability Calculation and Fuzzy Mathematics." Advanced Materials Research 243-249 (May 2011): 5739–44. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5739.

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Randomicity of basic variable results in the problem of structural reliability. A series of statistical parameters is applied in reliability calculation. Statistical parameters are attained by the statistics and analysis of source data of basic variable. However the basic variable source data is imperfect for a lot of structure. On the other hand, the relation of reliability index and basic variable is an important issue in reliability calculation. The two matters are solved in this paper by fuzzy mathematics. First, the matter of statistic data scarcity of load and resistibility and offered scientific evidence for estimation of distributing type of load and resistibility it solved by grey forecast; Second , the correlate degree of reliability index and load is calculated by correlate degree theory which can provide scientific evidence for security inspect of project.
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Judrupa, Ilze, Maija Šenfelde, and Vytautas Juščius. "Evaluation of the Competitiveness of Statistical Regions in Latvia Using Official Statistical Information." Engineering Economics 32, no. 2 (2021): 154–64. http://dx.doi.org/10.5755/j01.ee.32.2.27979.

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There is a lack of methodologically grounded and generally accepted regional competitiveness’ evaluation method in Latvia. Common feature of the research about nature of competitiveness is that competitiveness of a region depends on how high and sustainable the level of prosperity in the region is. The analysis of scientific literature showed, that most often synthetic indexes are used to evaluate competitiveness of a region. Methodology to evaluate regional competitiveness was developed and approbated in case of Latvia. To identify the most appropriate method for competitiveness index calculation, Regional Competitiveness Index (RCI) according to two different methods was calculated in the research. The results obtained were similar, but each of index calculation methods has its own advantages and disadvantages and the choice of the appropriate method will depend on the researcher's goals and objectives. Use of relative weights in index calculations affects the obtained results, therefore, necessity of relative weights must be economically justified. It was proven that regional competitiveness cannot be characterized by such simple indicators as GDP or GDP per capita. RCI shows the level of competitiveness of Latvia’s statistical regions, it is possible to compare regions in time and among each other. It allows to form regional development policy and strategy more reasonably.
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Kaur, Ms Sarabjit, and Ms Simpi Chopra. "Elementary Statistical Utensils in Scientific Study Analysis - A Review." Scholars Journal of Physics, Mathematics and Statistics 8, no. 5 (2021): 88–95. http://dx.doi.org/10.36347/sjpms.2021.v08i05.001.

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Statistical methods complicated in resounding out a study take in development, planning, collecting data, analyzing, illustration expressive understanding and broadcasting of the research findings. The statistical analysis gives importance to the pointless information. Statistical Methods and Tools are back bone of the Research. Statistical tools help for the data analyzing, data description, and for the all result analysis we use the statistical tool. The greatest part of Statistics is it preserves us informed about what is happening around us. Like mathematics there is no any field in which we are used the application of statistics and its tools. Statistical methods that have comprehensive proposals; however, it does give exceptional helpfulness to statistical methods that are applicable to the financial and social sciences. In calculation to unique research papers, person who reads will find review courses, short notes, intelligences on statistical software, problematic segment, and manuscript reviews. In this research paper prime focus is the Application of the statistics and its tools. This paper covers the variable, description of the data, ideas of sample size, quantitative variables which are possible only by statistical tools which help in the further researches.
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Kovalenko, Valentyn, Oleksii Zhuravel, Vsevolod Stryzhak, Halina Anishchenko, and Sergii Iglin. "TRAVELLING RESISTANCE DETERMINATION OF A BRIDGE CRANE BY STATISTICAL METHODS." Bulletin of the National Technical University «KhPI». Series: Automobile and Tractor Construction, no. 2 (November 28, 2024): 13–21. http://dx.doi.org/10.20998/2078-6840.2024.2.02.

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The article presents a new method for solving the scientific and practical task of automating the calculation of the weight of general-purpose overhead cranes. The numerical data on the weight of existing cranes are provided in tables and structured according to load capacity and span. Hypotheses of mathematical statistics were applied, which allowed the results to be distributed according to the normal law under the assumption of equal accuracy of the obtained data. Based on these assumptions, the method of least squares was used to construct a two-variable function that establishes the relationship between the crane's weight, span, and load capacity by combining these parameters. A formula was derived that enables the weight of cranes to be calculated programmatically. The advantages of the proposed method are substantiated in the article.
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Robson, Keith. "Connecting Science to the Economic: Accounting Calculation and the Visibility of Research and Development." Science in Context 7, no. 3 (1994): 497–514. http://dx.doi.org/10.1017/s0269889700001794.

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The ArgumentThe presence or absence of scientific research in productive organizations is a subject of professional concern to the scientific and engineering community, and of wider interest to political agencies in the United Kingdom. This paper will explore aspects of the economic visibility of scientific practices in productive organizations:how, by whom, and in what contexts research and development practices have been constructed, monitored, and disseminated as economic statistices within and beyond the modern industrial enterprise. The paper will focus on the construction of scientific practices as accounting and economic signifiers within their organizational context:the growth of mechanisms for the connection fo scientific practices to economic calculations. How companies account for R&amp;D has been elevated by particular government agencies through the accountancy bodies, as a way of forging a relationship between economic calculation and the scientific practices of U.K.companies.
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Mel'nikov, A. K. "ABOUT CHOOSING THE METHOD OF EXACT APPROXIMATIONS OF DISCRETE STATISTICS PROBABILITY DISTRIBUTIONS." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 204 (June 2021): 39–48. http://dx.doi.org/10.14489/vkit.2021.06.pp.039-048.

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In the paper, we consider the methods of exact approximations of statistics probabilities distribution. As the exact approximations, we consider ∆-exact distributions. The difference between the ∆-exact distributions and the exact approximations does not exceed a predefined arbitrary small value ∆ that defines the accuracy of the approximations. Besides, we consider the methods of the first and second multiplicity, which use statistic characteristics of samples. The first multiplicity method is based on the properties of the components of the first multiplicity vector, which are nonnegative integer solutions of a linear equation. The linear equation relates the alphabet sign frequency and the sample size. The second multiplicity method is based on the solution of a system of linear equations. The linear equations of the system relate the sample size and the alphabet cardinality with the number of the alphabet signs that have equal frequency in the sample. For the considered methods of exact approximations, we give expressions to estimate the computational complexity of exact approximations of distributions for any sample parameters. To provide the approximations accuracy of 10–5, and the computing resource with the performance of 1018 operations per second, we calculated the sample parameters. For these samples, we can calculate the exact approximations of distributions, using the considered methods, the available computing resource, and the declared accuracy. We formed the parameter regions for the samples, and the exact approximations of distributions can be calculated for these samples with the help of various methods. We compared the regions themselves and with the so-called region of uncertainty, which is limited from above not more than 5-fold excess of the sample size over the alphabet cardinality. On the base of the comparison of the parameter regions of the samples, which are suitable for calculation of the exact approximations of the distributions, we compared their calculation methods. It is shown that owing to the second multiplicity method, we can make calculations for all values of the alphabet cardinality from 2 to 256. In contrast to the second multiplicity method, the first multiplicity method does not allow calculations for the alphabet cardinality over 73. The parameter region of the samples, which are suitable for calculation of the limit approximations of the distributions by the second multiplicity method, contains the complete parameter region of the samples, suitable for calculation of the limit approximations of the distributions by the first multiplicity method, and exceeds it more than in 52 times. Owing to the comparison of the methods of exact approximations, it is proved that if we have the same computing resource, we can calculate the exact approximations with the help of the second multiplicity method for a greater number of samples with the increased parameters in comparison with the first multiplicity method. Hence, to calculate the exact approximations of statistics probability distributions, we choose the second multiplicity method. Practical significance of the research is possibility of calculation of the maximal values of the sample parameters. The current technological level of computer systems allows calculation of the exact approximations of the distributions for these values, which provide the minimal loss of criteria efficiency in comparison with the limit approximations used for the sample parameters. The scientific novelty of the research is the comparative analysis of the methods of exact approximations of distributions for calculation of distributions for the sample parameters, which do not allow calculation of the exact distributions due to their high computational complexity.
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Zhang, Xiao Qing, Miao Le Hou, Guang Zhu, and Yun Gang Hu. "Calculation of Areas of Cultural Relics Surface Defects Based on the Triangular Mesh Model." Advanced Materials Research 446-449 (January 2012): 3452–56. http://dx.doi.org/10.4028/www.scientific.net/amr.446-449.3452.

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In order to solve the problem that need exact and scientific data in checking and restoring cultural relics, this paper presents a novel algorithm that statistics defect areas of cultural relics by calculating holes area in the in triangular mesh models.First, build the topological relationship between triangles, vertices and edges and extract boundary using boundary property of triangular mesh. Next, the holes bounding edges are linked in sequence into holes polygon. Finally, distinguish holes boundary and model exterior boundary by means of triangular mesh topological characteristics and the areas of three-dimensional holes polygon are calculated to statistics defect areas of cultural relics through the method of coordinate. Through experiments, it proved that this algorithm was correctly and reasonable.
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Rudenko, N. "Statistical Tools of Pedagogical Research." Pedagogical education: theory and practice. Psychology. Pedagogy 2, no. 42 (2024): 59–67. https://doi.org/10.28925/2311-2409.2024.428.

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Due to the active development of scientific and technological progress, mathematical science has impacted on all scientific fields, including pedagogy. A crucial element is enhancing the quality of pedagogical research through the organization of experiments, the evaluation of acquired scientific data, and the validation of these results employing methods of mathematical statistics. The complexities involved in the proper implementation of statistical methods in pedagogical research arise from the necessity to investigate qualitative attributes of phenomena and events, requiring the alignment of research objectives and content with the appropriate mathematical and statistical techniques. Statistics seeks to provide relevant evidence to the claims of experts in various fields using mathematical methods to reach a consensus on making appropriate decisions based on statistical information. The article theoretically highlights mathematical and statistical methods in pedagogical research when organizing an experiment, evaluating acquired scientific data and verifying the reliability of these results usingmethods of mathematical statistics. It defines the main concepts of the research, namely: mathematical statistics, problems of mathematical statistics, methods of mathematical statistics, statistical literacy, statistical hypothesis, criteria of agreement, e-resources for statistical analysis. The main mathematical methods used in pedagogical research have been selected, and the algorithm for testing statistical hypotheses in pedagogical research has been provided. The statistical criteria of agreement have been identified for testing the hypothesis about the type of distribution of a random variable (Pearson, Fisher, Student), and modern e-resources for calculating the criteria of agreement (JASP, PSPP, DataMelt, Sisense and others), as well as some online calculators, have been discussed
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22

Kalininskaya, A. A., and N. A. Bayanovа. "Scientific substantiation of the assessment of the territorial availability of primary medical health care to the rural population." Kazan medical journal 101, no. 6 (2020): 890–96. http://dx.doi.org/10.17816/kmj2020-890.

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Aim. To assess the territorial accessibility of primary health care (PHC) to the rural population in the Orenburg region.&#x0D; Methods. Statistical, monographic, organizational experiment research methods were applied. Statistical processing was carried out by using the Statistica 10.0 software. Basic statistics were calculated (arithmetic mean, weighted arithmetic mean). All parameters were checked by using ShapiroWilk, KolmogorovSmirnov and Lilliefors tests for normal distribution. The parametric method of statistics (Student's t-test) was used.&#x0D; Results. The assessment of the territorial accessibility of primary medical health care to the population of the Orenburg region was carried out using the methodology developed by us for calculating the criteria for the accessibility of primary medical health care to the rural population Rating of medical organizations according to the criterion of territorial accessibility of primary medical care to the rural population. The use the methodology allows making management decisions regarding the territorial planning of primary health care for the rural population in the selection of problem areas with low accessibility of primary medical care. In the Orenburg region, there are the following problems: different levels of accessibility of primary health care with a variety of distance up to 30 km and different population sizes in settlements create difficulties in organizing the provision of primary health care; remoteness from the regional center up to 300 km forms a personnel deficit.&#x0D; Conclusion. Application of the methodology Rating of medical organizations according to the criterion of territorial accessibility of primary medical care to the rural population in the Orenburg region has allowed the development of the following recommendations for making management decisions at the regional level: (1) prioritization of territories for priority measures to ensure the availability help; (2) selection of the form of primary health care organization for the timely medical care provision to the population; (3) the formation of competition among medical organizations in the ranking of the availability of primary health care.
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23

Okulich-Kazarin, Valery. "Statistics Using Neural Networks in the Context of Sustainable Development Goal 9.5." Sustainability 16, no. 19 (2024): 8395. http://dx.doi.org/10.3390/su16198395.

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In recent years neural networks have been used to achieve all 17 SDGs. This paper is directly related to SDG 9. In particular, the application of neural networks in statistics indicates the creation and development of a scientific research infrastructure (including encouraging innovation, SDG 9.5). Also, this paper shows the possibility of the mass practical application of neural networks for statistics in the context of sustainable development (with the possibilit of increasing the number of researchers, SDG 9.5). The paper aims to test the following two hypotheses in the context of SDG 9.5: (1) The rapid growth of scientific interest in neural networks will lead to a decrease in the number of scientific publications in statistics. (2) It is possible to use neural networks for calculating statistical indicators. Bibliometric analysis, mathematical modeling, the calculation of statistical indicators using the new prompt and Excel table z-statistics were used. The scientific novelty lies in the new knowledge obtained by the author for the first time. This study integrates advanced technologies (neural networks) and a traditional field (statistics), which is a significant contribution to innovation and infrastructure development (Indicator 9.5.1). The practical value lies in the ease of the mass use of neural networks for statistical data processing of more than 100,000 units, which is related to Indicator 9.5.2. Thus, this paper represents an important contribution to the stimulation of innovation, thereby building up technological potential and leading to a significant increase in the number of researchers (SDG 9.5).
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Dr., O. Hari Babu, Srinivasulu A., and R. V. S. S. Nagabhushana Rao Dr. "Statistical Analysis of Priority Sector Credit By Commercial Banks in India." International Journal of Trend in Scientific Research and Development 2, no. 5 (2018): 253–60. https://doi.org/10.31142/ijtsrd15812.

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Statistical Methods for Social Research using SPSS takes a more applied approach to conventional statistics by focusing on more analytical approach. Instead of being purely theory oriented, emphasis will be more on the practical application of a variety of statistical techniques to supplied datasets. Working with datasets, it will cover widely used statistical methods including descriptive statistics, data visualization, statistical inference, categorical data, correlation and regression, analysis of variance and multivariate analysis. In the present study an attempt is made to analysis of commercial Banks credit towards Priority Sector credit which is most prominent topic in economic development and eliminating disparities. The key focus is on calculation and application of Compound growth rates and t test. Compound growth rated are calculated to know the extent of growth factor in commercial banks&#39; lending and t test values are calculated to test the validity of growth rates. Thus, Statistical calculations part and parcel of every research for analyzing data, interpreting data and implementing policy decision. The present study is an endeavor in this direction. Dr. O. Hari Babu | A. Srinivasulu | Dr. R. V. S. S Nagabhushana Rao &quot;Statistical Analysis of Priority Sector Credit By Commercial Banks in India&quot; Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018, URL: https://www.ijtsrd.com/papers/ijtsrd15812.pdf
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Ishkov, Valerii, та Yevhen Kozii. "DISTRIBUTION OF MERCURY IN COAL SEAM C7н OF PAVLOHRADSKA MINE FIELD". SCIENTIFIC PAPERS OF DONNTU Series: “The Mining and Geology”, № 3(23)-4(24) 2020 (2020): 26–33. http://dx.doi.org/10.31474/2073-9575-2020-3(23)-4(24)-26-33.

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Purpose. Investigation of regularities of mercury distribution in coal of formation c7n of the Pavlogradska mine field. Methodology. Method of atomic absorption analysis of furrow samples of wells. Processing of geochemical and structural-geological data by methods of mathematical statistics using Excel 2016 and Statistica 6.0. The computer program Surfer was used to build maps/ Results. In article considered the distribution of mercury in the coal seam c7н of the Pavlohradska mine field of the Pavlohrad-Petropavlivka geological and industrial district of Donbas. As a result of the study, a map of isoconcentrates and a map of the regional component of mercury content in the coal of the seam were constructed and analyzed. Correlation coefficients between mercury concentration and formation morphological parameters and coal sulfur were calculated. The regression equations between this element and the ash content of coal are also established, which will allow predicting their concentration in the main working coal seams of the geological-industrial area relative to the values of coal ash content. The nature of sulfur distribution is established and the weighted average concentrations and the main descriptive statistics of this element are calculated. Scientific novelty. Peculiarities and regularities of mercury accumulation in coal of formation c7n are revealed. Practical significance. The constructed maps and established correlations are the factual basis for long-term forecasting of mercury concentrations in extracted raw materials and adjustment of technological schemes of coal beneficiation. Keywords: mercury, mine, coal height, ash content, stratum depth, sulfur content, regression equation, correlation coefficient.
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26

Ivchenko, Evgeniy V., Stepan G. Grigoriev, Dmitriу V. Ovchinnikov, and Ildar F. Latypov. "Qualimetric assessment of research and development performance of a higher education institution." Bulletin of the Russian Military Medical Academy 24, no. 4 (2023): 719–25. http://dx.doi.org/10.17816/brmma111049.

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The study presents an original methodology for assessing the quality of scientific activity of the units of the Military Medical Academy named after S.M. Kirov. As a tool for its solution, we used qualimetric evaluation of all possible areas of scientific activity of departments and criteria that characterize these areas. Qualimetric methods of expert survey and weighting of performance indicators and descriptive statistics were used. Twenty-five experts took part in structuring the scientific performance of the academy. The resulting structure included six main sections, each described by a specific set of attributes. The attributes were both quantitative and qualitative with certain graduations and units of measurement, each of which was assigned a weighting coefficient. The values of the coefficients were expressed in fractions of 1, and the sum was 1. The consistency of the experts proved to be quite high, and the coefficient of concordance was 0.82 (p 0.001). Based on the comprehensive assessment of each division of the academy, a scale score was calculated, which helped in determining the rating of a division. A sigma (using the mean square deviation) estimate was chosen as a scaling tool, which shows that 68% of all complex estimates of the units being evaluated are expected in the range from the arithmetic mean minus sigma to the arithmetic mean plus sigma. That is, units with the value of a complex indicator that falls within this interval are recognized as units with an average assessment of scientific activity. Approximately 16% of units whose value of the complex indicator will be greater than the calculated interval will make up a group of units with scientific activity above the average, and the same number of units whose value of the complex indicator will be less than the calculated interval will make up a group of units with scientific activity as below the average. In general, following the structuring and weighting coefficients, a calculation complex was developed to determine the scientific status of a unit, which was performed using an Excel spreadsheet and can be used, along with the evaluation of educational and methodological activities, in the general evaluation of units.
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27

Eroshin, S. E. "Method of Calculation of Integrated Performance Indicators of Defense Industry Organizations." Statistics and Economics 18, no. 6 (2021): 26–34. http://dx.doi.org/10.21686/2500-3925-2021-6-26-34.

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The purpose of the study is to develop a parametric monitoring system for defense industry enterprises, optimizing on the principle of minimum sufficiency a set of key indicators of the activities of organizations and increasing the efficiency of management of research institutes, design bureaus, industrial and service enterprises of the military-industrial complex.Materials and methods. The methodological and theoretical basis of the presented scientific work is a system of mathematical methods for analyzing empirical data on the object of study, providing objective, accurate and systematic information on the researched processes. The reliability of scientific provisions, conclusions and practical recommendations is confirmed by the experience of applying the results of the study in the analysis of the activities of enterprises of Concern Almaz-Antey JSC, as well as comparing them with the results of research by domestic and foreign scientists in the field of organizing a management system for high-tech companies. Author relied on actual statistical information about the activities of organizations of the military-industrial complex, the results of research in the field of mathematical analysis, organization and planning of machine-building production, research of operations, rank statistics, probability theory, theory of adaptive management, economics and enterprise management.Results. A method has been developed for processing data on the activities of enterprises and reducing them to the optimal set of observed indicators without losing awareness of the monitoring object; possibilities of using non-parametric methods of statistics for analysis of complex systems, in particular, holdings of defense industry, have been researched.Conclusion. Each enterprise has its own specificity depending on the specifics of the production processes. There is now a significant number of different indicators that comprehensively, and often too extensively, characterize what is happening. This situation often makes it difficult to manage production facilities, since the actual picture of the state of the facilities is obscured by an excess of secondary information. In this regard, it seems reasonable to try to weed out unnecessary indicators and use only those that carry the necessary amount of information sufficient to reflect the specifics of the enterprise. The presented work theoretically and practically proved the advantages of using non-parametric statistics in enterprise monitoring, which allows reducing temporary losses in the development of management solutions and increasing their efficiency at the level of the parent companies of defense-industrial associations.
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28

Ahmad, Mushtaq, Anees-ul Hasnain Shah, and Arslan Raheem. "Scientific Reasoning Ability and Academic Achievement of Secondary School Students." Global Regional Review V, no. I (2020): 356–63. http://dx.doi.org/10.31703/grr.2020(v-i).39.

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Scientific reasoning ability is considered as developing ability and is improved through knowledge acquisition. So, the study was opted to find out the relationship between the scientific reasoning ability and the achievement marks of SSC science graduates. All SSC science graduates enrolled in intermediate 1st year class in any public or private college of Punjab were the population. 1620 students from four districts were conveniently selected. The suitable test Lawson reasoning ability test was adapted with permission to make it bilingual and pilot testing brought Cronbachs α value 0.914. Test was administered to 1620 students of both public and private colleges whereas returned rate was 93.7%. Results calculated through descriptive statistics and Pearson Correlation was no significant relationship between reasoning ability test scores and the SSC marks. It was recommended that assessment agencies i.e. Board of intermediate and Secondary education may include the items of higher order thinking in assessment.
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29

Ksenia, Kovtunenko, and Tanashchuk Kateryna. "The system of indicators for evaluating scientific and technical activities in the world." ECONOMICS: time realities 5, no. 39 (2018): 107–16. https://doi.org/10.5281/zenodo.2605366.

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The article examines the activities of major international organizations in the system of evaluation of scientific and technical activities. The structure of databases for the research results of scientific and technical activities in the world is determined. The basic methodical materials of international organizations for measuring scientific and technical activity are analyzed. The types of scientific activity, which form the indicative basis for the construction of the model of prediction of the number of personnel, are determined. The results of the study will allow us to formulate requirements based on the structure of the initial parameters on the basis of which the predicted calculations of the number of scientific personnel in the system of higher education and science will be carried out.
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Zhang, Xionglin, Wenjuan Lü, and Feng Lin. "Can Scientific and Technological Talent Aggregation Accelerate Economic Growth? An Empirical Study." Journal of Systems Science and Information 3, no. 2 (2015): 145–53. http://dx.doi.org/10.1515/jssi-2015-0145.

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AbstractScientific and technological talent has become one of the key elements to accelerate economic development all over the world. The internal mechanism of the promoting of economic growth by scientific and technological talent gathering has been analyzed using mathematical modeling methods based on two regional cases. Further the conclusion has been extended to multi-location application. The scientific and technological talent gathering index has been introduced in the application. The data used was accessed from China Population Statistics Yearbook, Science and Technology of China Statistical Yearbook and China Statistical Yearbook. The regional concentration index of scientific and technological talent in different regions has been calculated based on the data. Findings of the research affirmed the positive correlation between scientific and technological talent gathering and regional economic growth. Finally recommendations to promote regional scientific and technological talent aggregation have been proposed.
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31

Halytska, Е. V., О. K. Primierova, and S. V. Siemikolenova. "Life path and scientific work by William Petty." Statistics of Ukraine, no. 4(79) (December 20, 2017): 94–100. http://dx.doi.org/10.31767/su.4(79).2017.04.12.

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The article is devoted to the scientific and practical activities of the prominent representative of the school of political arithmetic W. Petty. He was a well-known English economist, physician, inventor of copying equipment, doctor of physics, professor of astronomy, founder of English classical political economy, statesman, one of the founders of the Royal Society of London.&#x0D; In the article the biography of W. Petty is outlined and his role in the formation of scientific statistics is considered. The main works of the scientist such as: “Political arithmetic”, “A Treatise of Taxes and Contributions”, “Verbum Sapienti posthum”, “Political anatomy of Ireland” are analyzed. The views of the scientist on a wide range of socio-economic problems of the time and directions of their solution are considered&#x0D; Petty’s contribution to the development of methodological foundations of statistical science is determined. The article emphasizes the historic merit of the scientist in creating the basis of the statistical- economic method of research. The focus was made on W Petty’s application of the methods of collecting, processing, systematization and generalization of statistical information. W Petty first calculated the magnitude of the national wealth of England and Wales and made calculations of the national income, as well as differentiated these concepts and paid attention not only to the monetary form, but also material. In essence, from these calculations we can speak about the emergence of the foundations of the modern system of macroeconomic national accounting.&#x0D; It was also a great achievement of W Petty that he identified his main task of studying the laws of social phenomena. He was the first to raise the issue of the necessity of establishing a state statistical service and outline outlined its main activities. His achievements of the scientist concerning forecasting and comparative characteristics of the population of large cities of Europe are also considered.&#x0D; The article reflects the thoughts and statements of the descendants of W Petty, well-known researchers in the history of statistics, who highly appreciated the role and contribution of the scientist in the formation of statistical science.
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32

Dai, Lei Lei, Zheng Liang Sun, Dong Bo Liu, and Ya Li. "An Improved Method of Traffic Control Period Division for Intersection Based on Signal Cycle Calculation." Applied Mechanics and Materials 253-255 (December 2012): 1731–35. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.1731.

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A simple and practical method of intersection control period division was proposed from the urban traffic control perspective. According to the historical statistics of the traffic volume, considering the differences of traffic flows, and based on the process of average hourly traffic volume, the method could calculate the cycle length of signalized intersection, set determination threshold value of control period, and divide 24h a day into several control periods, which provided a scientific basis for the establishment of signal timing programs with multiple periods a day. The calculation results showed that this method was agreed with the actual traffic flow compared with the traditional method.
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33

Muyas, Khoirun Nisa‘, and Siti Nurrotul Aini. "EFFICACY OF ENGLISH LANGUAGE MODULES FOR NOVICE-COLLEGE STUDENTS: A PATHWAY TO READING SCIENTIFIC JOURNALS." English Teaching Journal and Research: Journal of English Education, Literature, And Linguistics 4, no. 1 (2024): 23–31. http://dx.doi.org/10.55148/etjar.v4i1.982.

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This study aims at investigating significant difference in reading scientific journals of Novice students o IAI Al Qolam Malang before and after using English language module as the treatment. Accordingly, thi current study employs pre experimental research design precisely One-Group Pretest-Posttest Design wit taking 25 ELT students of al Qolam University as the samples. Based on the result of statistica calculation it is discovered that the instruction using English language module is unable to improve th Novice students’ reading skill of scientific journals at IAI Al Qolam Malang..Key words: scientific journals, Novice students, English modul
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OLIVEIRA, . Patrícia Azevedo de, and Raimundo Luna NERES. "STATISTICS IN HIGH SCHOOL USING MATHEMATICAL MODELING AND GEOGEBRA." Boletim de Conjuntura (BOCA) 16, no. 47 (2023): 535–48. https://doi.org/10.5281/zenodo.10221741.

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This text aimed to analyze the learning of 3rd year high school students about statistical measures of centrality and dispersion, using mathematical modeling as a teaching methodology and the GeoGebra software as a teaching resource. This is, therefore, a scientific trial with a qualitative intervention-type approach and was carried out with fifteen students from a public school in São Luís/MA, during the first academic semester of 2023. The results revealed that some students had difficulties in interpreting those resulting from the calculation of dispersion, variance and standard deviation measures. However, most students were able to calculate these statistical measures during the implementation of the proposed activities. It was observed that students became more motivated and interested in classes using GeoGebra, which allowed them greater engagement and appropriation of the statistics studied. It was also found that teaching statistics through mathematical modeling allowed the teacher to mediate with the students, enabling them to analyze real situations in their daily lives.
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KOLODIYCHUK, A.V. "Statistical systems for assessing the social potential of the introduction of information and communication technologies into the national economy." Market Relations Development in Ukraine №11(258)2022 119 (February 9, 2023): 109–13. https://doi.org/10.5281/zenodo.7624557.

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The subject of the research is the statistical systems for assessing the social potential of the introduction of information and communication technologies into the national economy. The purpose of the study is to investigate and generalize methodological techniques for building statistical systems for assessing the social potential of the introduction of information and communication technologies. Research methods. The work uses the dialectical method of scientific knowledge, the method of analysis and synthesis, the statistical method, and the method of summarizing data. Work results. The paper examines and summarizes statistical systems for assessing the social potential of the introduction of information and communication technologies into the national economy. In particular, the direction and density of the correlation rank relationship between the level of inflation and the volume of income from the sale of services of enterprises of the postal and communication sector were investigated using the method of comparing parallel series of data, which is based on the calculation of special Fechner coefficients and Spearman rank correlation. Based on the calculation of the special contingency coefficient, an estimate of the connection density between the type of telephone network and the scale of accessibility for the population of home telephones is given. Conclusions. The calculated value of the contingency coefficient indicates that we have a very weak inverse stochastic relationship between the type of telephone network and the scale of availability for the population of home telephones. The calculated value of Spearman&#39;s rank correlation confirms the presence of an average inverse relationship between the taken indicators (inflation level and the volume of income from the sale of services of companies in the postal and telecommunications sector), i.e. an incomplete inverse correlation of ranks. According to the results of the calculated coefficients of Fechner and Spearman, it follows that there is an average inverse relationship between the level of inflation and the amount of income from the provision of services in the postal and communications sector of Ukraine.
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Polat, Murat. "Students' Attitudes Towards Scientific Research in The Faculty of Education." Pamukkale University Journal of Social Sciences Institute, no. 18 (June 7, 2014): 77–90. https://doi.org/10.5281/zenodo.13956422.

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The purpose of this study is to examine students&rsquo; attitude toward scientific research in the faculty of education. 417 students enrolled at Muş Alparslan University during the 2012-13 academic year participated in the study. The survey research method was used in this study. The study was a descriptive survey. Data were collected with a scale called &ldquo;Scale of attitude towards scientific research&rdquo; developed by Korkmaz, Şahin ve Yeşil (2011). The Cronbach Alpha value of the scale found to be 0.85. SPSS were used for the analysis of the data. Data analysis involved calculation of descriptive statistics (mean, standard deviation, min, max, frequency and percentile), Mann-Whitney U, Kruskal-Wallis H and Bonferroni tests (p&lt;0,05). As a result: Students&rsquo; attitude toward scientific researches levels are &ldquo;middle&rdquo; according to all the factors. Students&rsquo; attitudes are significantly different according to departments except &ldquo;Positive Attitude toward Researches&rdquo; factor. Students&rsquo; attitudes are significantly different according to genders for &ldquo;Positive Attitude toward scientific research&rdquo; factor. And also students&rsquo; attitudes are significantly different according to class level &ldquo;Negative Attitude toward Researches&rdquo; factor.
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37

Orlov, A. "Estimation of gamma distribution parameters." Industrial laboratory. Diagnostics of materials 91, no. 1 (2025): 79–88. https://doi.org/10.26896/1028-6861-2025-91-1-79-88.

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Statements of problems of statistical analysis of data with a gamma distribution are related to classical mathematical statistics. Oddly enough, not all alone were solved within the framework of parametric statistics, which was at the forefront of the development of statistical science in the first third of the 20th century. As with the beta distribution, gaps need to be filled. This is necessary because the gamma distribution is currently widely used in theoretical and applied work. An example is GOST 11.011–83 «Applied statistics. Rules for determining estimates and confidence limits for gamma distribution parameters». The standard gamma distribution is determined by the shape parameter. When switching to a scale-shift family, scale and translation parameters are added. Seven formulations of parameter estimation problems are considered, since each of the three parameters can be either unknown or known. For each of the formulations, the estimates of the method of moments and their asymptotic variances are found. For a known shift parameter, maximum likelihood estimates are obtained. One-step estimates, asymptotically equivalent to maximum likelihood estimates, are used for an unknown shift parameter. The presence of measurement errors affects the accuracy of parameter estimates when applying certain calculation algorithms. In GOST 11.011–83, based on the interval data model, rules are given for choosing an estimation method for unknown shape and scale parameters and a known shift parameter. During the development of GOST 11.011–83, problems were identified, for the solution of which new methods from a scientific point of view were proposed. Further development of new scientific results obtained in the course of solving a practical problem (development of GOST 11.011–83) led to the creation of new scientific directions. We are talking about the statistics of interval data, as well as one-step estimates. To date, the statistics of interval data as a branch of mathematical statistics is quite developed and covers all the main areas of statistical methods. It is an important part of systemic fuzzy interval mathematics.
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38

Chen, Xingfeng, Limin Zhao, Haonan Ding, et al. "Cloud Occlusion Probability Calculation Jointly Using Himawari-8 and CloudSat Satellite Data." Atmosphere 13, no. 11 (2022): 1754. http://dx.doi.org/10.3390/atmos13111754.

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Cloud occlusion is an important factor affecting flight safety and scientific observation. The calculation of Cloud Occlusion Probability (COP) is significant for the planning of the flight time and route of aircraft. Based on Himawari-8 and CloudSat satellite data, we propose a method to calculate the COP. The COP statistics were carried out on different distances in 12 directions 6 km above Beijing Capital International Airport (BCIA), at different heights and directions in the Haiyang aerostat production base, and at different times and seasons in Mount Qomolangma. It was found that the COP going in the southern direction from BCIA was greater than that in the northern direction by 0.67–3.12%, which is consistent with the climate conditions of Beijing. In Haiyang, the COP for several seasons in the direction of land was higher than in the direction of the ocean. The maximum COP for the 6 km altitude is 29.63% (summer) and the minimum COP is 7.59% (winter). The aerostat flight test can be conducted in the morning of winter and the direction of the ocean. The best scientific observation time for Mount Qomolangma is between 02:00 and 05:00 UTC in spring. With the increase in altitude, the COP gradually decreases. The research in this paper provides essential support for flight planning.
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39

Dobryshyn, Yurii. "STATISTICAL METHODS FOR PREDICTING PHISHING ATTACKS." Cybersecurity: Education, Science, Technique 3, no. 23 (2024): 56–70. http://dx.doi.org/10.28925/2663-4023.2024.23.5670.

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The article proposes a methodology for predicting so-called phishing attacks, which are a common form of cybercrime, the number of which is growing every year, and the level of their harmful impact on the information systems of critical infrastructure objects is also increasing. To analyze trends and predict phishing attacks, we used statistical data published in scientific works of domestic and foreign researchers, as well as published by online publications of leading consulting companies working in the field of information security and cybersecurity. Statistical methods based on the use of time series, as one of the popular approaches used to predict various technological and economic processes, were chosen as tools for researching and predicting phishing attacks. This made it possible to analyze the types and patterns of phishing attacks that attackers use to disrupt the operation of software of information and communication systems and automated systems. Based on time series analysis, a trend model was built for the number of detected phishing attacks for the period 2020–2023. A calculation was made of the predicted number of phishing attacks for 16 quarters of 2020–2023, as well as the estimated forecast of the occurrence of these attacks for four quarters of 2024. To improve the forecast, a coefficient taking into account the seasonality factor was calculated and a correlation and regression analysis of the impact of phishing attacks on the total number of attacks detected during 2020–2023 was performed. Calculations have been performed, indicating that the discrepancies in the predicted values are not significant; the results presented allow us to select the optimal strategy for identifying, predicting and eliminating computer attacks related to phishing. Based on the time series model and the calculations obtained, it was concluded that statistical forecasting methods make it possible to build a forecast of phishing attacks, provide in the future the opportunity to develop and formulate methods for countering these attacks, and plan measures to increase the level of security of information resources.
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40

Stojanović, Tamara, and Ljiljana Drinić. "Financial Position Analysis of Livestock Producers in the Republic of Srpska." АГРОЗНАЊЕ 20, no. 1 (2019): 13. http://dx.doi.org/10.7251/agren1901013s.

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Our research focuses on the most important indicators of the livestock producers' financial position calculated from the available financial statements. The analysis cover financial data of approximately 85 livestock producers and 315 agricultural companies for the six year period (2010-2015) and is based on the scientific and research methods such as: trend analysis, compilation and comparison, structural analysis, descriptive statistics, calculation of financial indicators and method of inference. The analysis results show that the financial position of livestock production companies in the Republic of Srpska is not acceptable. This means that the livestock industry does not meet the requirements of liquidity (current ratio and quick ratio are below the criteria and the industry average), level of indebtedness (high and above the industry average), interest coverage (negative in average) and solvency level (below the criteria and industry average). Such results indicate that the livestock industry has serious financial problems and needs both internal and systemic measures in order to become more efficient and therefore more profitable and financially sustainable.
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41

Kozlova, M. A. "EXPERIENCE IN CALCULATING THE CONSUMER PRICE INDEX IN FRANCE: STATISTICS AND POLICY." Vestnik of Samara State University of Economics 7, no. 201 (2021): 9–18. http://dx.doi.org/10.46554/1993-0453-2021-7-201-9-18.

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The article investigates the experience of forming the methodology for calculating the consumer price index (CPI) in France from the 1910s to the present. The peculiarities of the index functioning in France are determined by two factors: following the general trends in the development of the indicator methodology and the critical assessment by society of its role. In the first situation, the generalization of historical development is relevant in the light of the accumulation of experience in the formation of sample populations of settlements, points of sale and goods and services, that is necessary to improve the methodology of CPI calculation in other countries. The second situation of discussing the index functioning as an object of political manipulation in France is of scientific interest in order to study the significance of the indicator for society and transfer this experience to the socio-economic systems of other countries. The generalization of materials on data collection and computing techniques was carried out on the basis of dividing the CPI calculation into stages proposed by Rosstat and considered as standard within the framework of the international standard. The political context of the CPI development in France is presented in a separate part of the article on the basis of combining with methodology data for calculating the indicator.
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42

S, Varakumari, Dr PVRD Prasad RaoDr, M. Sirisha, and Dr K.R.R.Mohan Rao. "MANOVA- A Multivariate Statistical Variance Analysis for WSN Using PCA." International Journal of Engineering & Technology 7, no. 2.7 (2018): 779. http://dx.doi.org/10.14419/ijet.v7i2.7.10976.

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Wireless sensor systems (WSN) have turned into a successful answer for an extensive variety of uses. Most customary WSN models comprise of static hubs that are thickly sent over a discovery region. The total administrations of a characteristic part in the Wireless Sensor Networks (WSN) area since they fundamentally diminish the measure of information transmissions required and increment the vitality proficiency in those systems. All current accumulation strategies have been created in light of scientific models or capacities, the WSN client won't approach the first perceptions. Through this report, we propose a calculation that enables the base station to admittance the discoveries by presenting a dispersed technique for calculating the Principle Components Analysis (PCA). The recommended calculation depends on the transmission workload of the middle hubs. At whatever point you utilize PCA, include approaching arrangement from a downstream customer in a bundle, and accordingly, a middle hub not just sends a parcel as opposed to retransmitting all parcels. Subsequently, we can accomplish a significant lessening in information communication. We have broken down the execution of the planned calculation concluded arithmetical reproductions. The trial comes about demonstrate that our calculation works superior to anything the conglomeration in view of last age PCA calculations, for example, PCAs regarding exactness and proficiency.
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Likhenko, I., and A. Kogan. "Problems of determining reliable beta values of Russian companies: analysis of the significance of the initial data period." Siberian Financial School, no. 3 (September 10, 2021): 92–96. http://dx.doi.org/10.34020/1993-4386-2021-3-92-96.

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The subject of this work is the calculation of the beta (beta coefficient, systemic risk coefficient) of Russian companies to determine the price of their capital using the Capital Assets Pricing Model (CAPM). The purpose is to determine the influence of the duration of the period for which the initial data on the stock market are taken on the reliability of the beta coefficient value. The paper uses general scientific methods, financial methods (CAPM) and methods of mathematical statistics (regression analysis, the criteria of Fisher, Pearson, Student and Shapiro-Wilk). The calculations are based on information on the stock market provided by the Moscow Exchange and Yahoo Finance. The python language was used to collect information, Excel spreadsheets and its standard functions were used for processing it, as well as the STATISTICA program. As a result, the influence of the initial data period on the statistical characteristics of the beta coefficient is determined. The calculations were performed for the periods of 3 months, 1 year, 2 years and 5 years. The best results were obtained for a 2-year period. There are other factors that can affect the reliability of the beta coefficient. The authors continue their research to provide the economy with information about reliable values of beta coefficients of Russian companies.
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44

Tsyganok, V. "Аnalysis of indicators of technical and tactical actions in the competitive process of qualified handball players with the application of the information control system". Scientific Journal of National Pedagogical Dragomanov University Series 15 Scientific and pedagogical problems of physical culture (physical culture and sports), № 1(129) (27 січня 2021): 119–24. http://dx.doi.org/10.31392/npu-nc.series15.2021.1(129).26.

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The purpose of the article is to determine the information-significant indicators of technical and tactical actions in the competitive process of qualified handball players of different roles using the information support system. Research methods: analysis of scientific and methodological literature and data of the Internet; content-analysis of scientific and methodical materials of a complex scientific group; pedagogical observations; analysis and expert interpretation of indicators of technical and tactical actions in the competitive process; ascertaining pedagogical experiment; methods of mathematical statistics. Results. Literature data show that the issues of creating an information support system in the process of determining information-significant indicators of technical and tactical handball actions of players of various roles remain unresolved. It is established that the complex of selected coefficients, indices and calculated values creates the technology of express evaluation of indicators of technical and tactical actions in the competitive process of qualified handball players of different game roles, to obtain individual, group and team indicators. It is shown that the information support system, which contains computer programs «InfoHandball» and «StatsHBall», is effective for calculation, analysis and express evaluation of integrated parameters of competitive activity of handball players in a match, series of matches or tournament. Conclusions. According to the indicators of thrown balls (goals) there is a tendency: the highest indicators of the player of the role of «left midfielder», the average indicators of players of the role of «left extreme» and «linear», with minimum-sufficient indicators of handball players of other roles («right extreme», «right middle», "central»)
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45

Zhang, Xu Min, Ying Wang, Li Jian Sun, Liang Wang, Zhen Sun, and Ji Qing Liu. "The Method on Statistic Spatial Gridding for the Sum Variable." Advanced Materials Research 1073-1076 (December 2014): 1941–49. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1941.

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A comprehensive analysis on the statistical data about the energy, environment, population and development of the social economy, is the necessary condition to solve regional environmental and social problems and to realize the sustainable and scientific development. But different statistical unit is the main obstacle of the integrated application of statistical data. Practice show that statistical data spatial gridding is an effective way to solve this problem. This paper presented the factor-based statistic spatial gridding process for the sum variable. This method firstly determined the factors that affecting the spatial distribution of statistical objects. Then it used the AHP method to obtain the weight of each factor, and applied the weights to grid calculation. The experiment proved that this method made the grid result more realistic.
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46

Gan, Hai Long, and Xiao Li Xie. "Durability Analysis and Carbonation Life Prediction of River Bridge." Applied Mechanics and Materials 484-485 (January 2014): 742–48. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.742.

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The shajiang river bridge on the appearance test, concrete rebound detection, concrete cover depth detection, concrete carbonation depth detection, concrete chlorine ion content detection, and the detection results in statistics and analysis. Based on the bridge of the service the atmospheric environment parameters and testing data, the paper calculates and analyzes the main stress components the carbonation bridge reliability index and remaining life of carbide, assessing the bridge for the service life and reinforcement maintenance and offer the scientific basis.
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Jones, Mark, Val Gebski, Mark Onslow, and Ann Packman. "Statistical Power in Stuttering Research." Journal of Speech, Language, and Hearing Research 45, no. 2 (2002): 243–55. http://dx.doi.org/10.1044/1092-4388(2002/019).

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The capacity to make reliable inductive statements about populations is critical for the advancement of scientific knowledge. An important contribution to that advancement of knowledge is determining that effects are either present or not present in populations. Statistical power is an important methodological qualifica-tion for any research that presents statistical results, and particularly so for research that presents null results. In this paper we describe the statistical concept of power, outline parameters of research that influence it, and demonstrate how it is calculated. With reference to selected published research, attention is drawn to the problems associated with a body of underpowered research, one being that population effects may go undetected. One way to prevent this problem is to calculate power a priori in planning research and include confidence intervals when presenting the results of research. However, it is difficult, if not impossible in many cases, to obtain high participant numbers for communication disorders of low prevalence such as stuttering. With this in mind, the paper concludes with an attempt to open discussion about ways to redress the problems associated with statistical power.
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Tang, Liang Qin, Dong Yan Liu, and Yong Jian Li. "Stability Calculation of High Side Slope of Diversion Power System Inlet on Left Bank of Jinchuan Power Station." Applied Mechanics and Materials 212-213 (October 2012): 1071–75. http://dx.doi.org/10.4028/www.scientific.net/amm.212-213.1071.

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The diversion power system intake excavation of Jinchuan Hydropower Station forms a slope of about 160m height; its stability is one of the main geological problems of the project. By detailed site investigation, the engineering geological characteristics of intake slope (including the lithology, slope structure, the structural surface and its combinations, rock weathering and unloading, hydrology etc) is analyzed in this paper. On the basis of site slope ratio statistics, the problem of how to select a safe and economic excavation slope ratio has been studied. The finite element method and rigid limit equilibrium method were used to calculate and analyze slope stability under various working conditions. The results of analysis evaluation provide a scientific basis for the design and construction.
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Liu, Qing, and Jia Jia Zhang. "Traffic Flow Forecasting Based on Land-Use Planning." Advanced Materials Research 945-949 (June 2014): 3260–65. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.3260.

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At present, Chinas urbanization is developing rapidly. Traffic construction is helpful to the development of urbanization, and traffic flow forecasting can provide guidance for traffic construction. The basic data that traffic flow forecasting needs relies on social and economic statistics, like population, number of jobs and so on. In areas where the level of urbanization is low, social and economic statistics is always unavailable. As for this, the paper proposed a model that using land-use planning to forecast the traffic flow. First we calculated peak hourly person times by multiplying acreage of traffic zones with peak hourly trip rate, then got trip generation and attraction of traffic zones which is basic data of traffic flow forecasting after appropriate conversion. The case study proved that the model is scientific and rational.
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Sun, Qing Juan, and Jian Zheng Zhou. "Research on the Application of VR in the Model of Grading and Evaluating of Farmland Based on GIS." Applied Mechanics and Materials 312 (February 2013): 849–52. http://dx.doi.org/10.4028/www.scientific.net/amm.312.849.

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Virtual Reality (VR) is to immerse interactivity and imagination as the essential features of the advanced computer interface. The grading and evaluation work of agricultural land involves a large number of processing, statistics, analysis and calculation of spatial and attribute data, and it is a good idea to adopt the most advanced computer technologyGIS technology and database technology to eatablish the model of the farmland scientific and reasonable grading and evaluating . The model includes the module for land requisitionthe module for land requisitionthe module for land classification and modulefor the benchmark land price evaluation module.
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