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Relevant bibliographies by topics / Descriptive statistics

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Academic literature on the topic 'Descriptive statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 February 2023

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Journal articles on the topic "Descriptive statistics"

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Bulman, J. S., and J. F. Osborn. "Descriptive statistics." British Dental Journal 166, no. 2 (January 1989): 51–54. http://dx.doi.org/10.1038/sj.bdj.4806708.

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Kaur, Parampreet, Jill Stoltzfus, and Vikas Yellapu. "Descriptive statistics." International Journal of Academic Medicine 4, no. 1 (2018): 60. http://dx.doi.org/10.4103/ijam.ijam_7_18.

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Vetter, Thomas R. "Descriptive Statistics." Anesthesia & Analgesia 125, no. 5 (November 2017): 1797–802. http://dx.doi.org/10.1213/ane.0000000000002471.

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Shi, Runhua, and Jerry W. McLarty. "Descriptive statistics." Annals of Allergy, Asthma & Immunology 103, no. 4 (October 2009): S9—S14. http://dx.doi.org/10.1016/s1081-1206(10)60815-0.

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Pérez-Vicente, S., and M. Expósito Ruiz. "Descriptive statistics." Allergologia et Immunopathologia 37, no. 6 (November 2009): 314–20. http://dx.doi.org/10.1016/j.aller.2009.10.005.

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Dassanayake, B. K. "Descriptive statistics." Sri Lanka Journal of Surgery 31, no. 1 (May 7, 2013): 15. http://dx.doi.org/10.4038/sljs.v31i1.5268.

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Oldham, Jackie. "Statistical tests (Part 1): descriptive statistics." Nursing Standard 7, no. 43 (July 14, 1993): 30–35. http://dx.doi.org/10.7748/ns.7.43.30.s49.

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van den Besselaar, Peter. "Descriptive statistics, inferential statistics, rhetorical statistics." Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1077. http://dx.doi.org/10.1002/asi.10304.

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McHugh, Mary L. "Descriptive Statistics, Part II: Most Commonly Used Descriptive Statistics." Journal for Specialists in Pediatric Nursing 8, no. 3 (July 2003): 111–16. http://dx.doi.org/10.1111/j.1088-145x.2003.00111.x.

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Kapoor, Rakesh, and Kamal Kishore. "Statistics Corner: Reporting Descriptive Statistics." Journal of Postgraduate Medicine, Education and Research 54, no. 2 (2020): 66–68. http://dx.doi.org/10.5005/jp-journals-10028-1364.

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Dissertations / Theses on the topic "Descriptive statistics"

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Tawo, Ekure Etta. "The incorporation of subjective and descriptive information in geostatistical estimation." Thesis, University of Leeds, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.291038.

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Dubrall, Diana Ivonne [Verfasser]. "Analyses of Spontaneous Adverse Drug Reaction Databases Using Descriptive and Inferential Statistics / Diana Dubrall." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1221669001/34.

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Dubrall, Diana [Verfasser]. "Analyses of Spontaneous Adverse Drug Reaction Databases Using Descriptive and Inferential Statistics / Diana Dubrall." Bonn : Universitäts- und Landesbibliothek Bonn, 2020. http://d-nb.info/1221669001/34.

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McKeown, Leonard. "Determining the impact of the Corrective Reading program on the NAPLAN reading results of 'at risk' students." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/382706.

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The research reported in this thesis examines the impact of the Corrective Reading program on a national standardised reading comprehension test of ‘at risk’ students in Year 7 to Year 9 enrolled in a secondary school in Brisbane, Queensland. Previous studies focussing on Corrective Reading have established the positive impact on reading sub-skills, however, only a few studies have attempted to measure the effect of the program on reading comprehension assessed via standardised testing. Effective reading comprehension skills are critical for success at school and in the workforce. Yet, there are significant international findings which suggest that reading skills in Australia and many other western countries are declining which is a cause of concern for all educational stakeholders and the wider community. This concern has fuelled debate amongst academics and teachers of reading as to the most effective methods for teaching reading; the disputes on the issue have now captured the broader community through mainstream media. This study is quantitative in nature and applies a quasi-experimental methodology to compare the NAPLAN reading results of 22 students who have completed the Corrective Reading program compared to a non-randomised control group of 212 students who did not undertake Corrective Reading. Both descriptive and inferential statistics are used to analyse and discuss the impact of the program. Descriptive statistics provide a summary of the data through measures of central tendency, variability and spread. Inferential statistics test the hypothesis that participation in the program will lead to improved reading scores by calculating the effect size of the program on the NAPLAN reading results for targeted students from Year 7 to Year 9. The results of this research demonstrate that Corrective Reading does have a statistically significant positive effect on the standardised test results for reading with a degree of confidence of 95%. The effect size, or magnitude of this significance, represents a strong impact on improving the reading comprehension skills of students in Junior Secondary. This research contributes to the ongoing contention about reading intervention programs by providing a deeper understanding of the role that Direct Instruction can play in enhancing reading comprehension skills. The findings of this study provides evidence and insights that are useful to staff of the school where the study was undertaken. Other schools interested in ways to improve the reading results of their ‘at risk’ students in Junior Secondary may also find this study advantageous. School leaders may determine the discussion and reflections on the study relevant from an instructional leadership lens.
Thesis (Masters)
Master of Education and Professional Studies Research (MEdProfStRes)
School Educ & Professional St
Arts, Education and Law
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Strugnell, James Paul. "Paintings by numbers : applications of bivariate correlation and descriptive statistics to Russian avant-garde artwork." Thesis, University of St Andrews, 2017. http://hdl.handle.net/10023/10722.

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In this thesis artwork is defined, through analogy with quantum mechanics, as the conjoining of the nonsimultaneously measurable momentum (waves) of artwork-text (words within the primary sources and exhibition catalogues) with the position (particles) of artwork-objects (artist- productivity/exhibition-quantities). Such a proposition allows for the changes within the artwork of the Russian avant-garde to be charted, as such artwork-objects are juxtaposed with different artwork-texts from 1902 to 2009. The artwork of an initial period from 1902 to 1934 is examined using primary-source artwork-text produced by Russian artists and critics in relation to the contemporaneous production-levels of various types of Russian-avant-garde artwork-objects. The primary sources in this dataset are those reproduced in the artwork-text produced by the 62 exhibitions described below, and those published in John E. Bowlt's 1991 edition of Russian Art of the Avant-Garde: Theory and Criticism. The production of artwork in the latter period from 1935 to 2009 is examined through consecutive exhibitions, and the relationship between the artwork-text produced by these exhibitions and the artwork-objects exhibited at them. The exhibitions examined within this thesis are 62 containing Russian avant-garde artwork, held in Britain from 1935 to 2009. Content analysis, using an indices-and-symptom analytical construct, functions to convert the textual, unstructured data of the artwork-text words to numerical, structured data of recording-unit weighted percentages. Whilst artist-productivity and exhibition-quantities of types of artwork-object convert the individual artwork-objects to structured data. Bivariate correlation, descriptive statistics, graphs and charts are used to define and compare relationships between: The recording units of the artwork-texts; the artist-productivity/ exhibition-quantities of types of artwork-objects; the structured artwork-text data and structured artwork-object data. These various correlations between structured artwork-text data and structured artwork-object data are calculated in relationship to time (Years) to chart the changes within these relationships. The changes within these relationships are synonymous with changes within Russian avant-garde artwork as presented from 1902 to 1934 and within the 62 British exhibitions from 1935 to 2009. Bivariate correlations between structured artwork-texts data and structured artwork-objects data express numerically (quantitatively) the ineffable relationships formed over time by large sets of unstructured data in the continued (re)creation of artwork.

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Boushell, Audrey. "Comparing Generic Descriptive Analysis and Temporal Dominance of Sensations of Milk and Dark Chocolates and Effect of Training in Temporal Dominance of Sensations of Chocolates." Thesis, University of California, Davis, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=1585048.

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Temporal Dominance of Sensations (TDS) is a sensory analysis method that measures the order and time that few key attributes are dominant throughout consumption of a product. Dominant attributes are those that catch the attention at a given moment, and are not necessarily related to intensity. A panel of 15 judges was trained first in Generic Descriptive Analysis (GDA) and then in TDS. This panel assessed 8 Guittard chocolates varying in amounts of cocoa solids, sugar, and fat. Both methods produced similar results. Samples were predominantly separated as milk chocolates and non-milk chocolates. Non-milk chocolates were sorted by attributes associated with cocoa and sugar content. The TDS data complemented the GDA data by providing additional information on how key attributes changed over time. A group of 98 untrained consumers then performed the same TDS procedure with the same chocolate samples. Both groups produced similar results for sample separation and sorting, but panelist data was superior. Panelists were better able to capture sensory changes over time and had more accurate and consistent understanding of certain attributes.

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Forzelius, Adam, and Daniel Lejfalk. "Putting the Magnifying Glass on NationalVictimization Statistics : A Descriptive Study onLocal Crime Victimization Patterns in a Medium-Sized Swedish City." Thesis, Mittuniversitetet, Avdelningen för samhällsvetenskap, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31964.

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Introduction: Crime victimization is a problem affecting both individuals and societies. Previous research has looked at the associations between victimization and other factors, and many countries employ self-reported victimization surveys to establish what the victimization patterns look like at different societal levels. Aims: By examining victimization proportions and patterns, this study aimed to further the understanding of what the crime victimization problem looks like in a medium-sized Swedish city. Method: 149 men and 146 women, for a total of 295 inhabitants of Sundsvall, answered self-reported victimization surveys based on the Swedish Crime Survey. The gathered data was subsequently quantified and analyzed. Results: In total, 11.9 % of the sample reported some type of victimization. Overall, men were more likely to be victimized than women, and crimes against persons were more common than crimes against property. Occupation and socio-economic status were significantly associated with victimization. More than half of the victimizations were not reported to the police, and victimization was significantly associated with a lower trust in the criminal justice system and the police. Conclusion: Medium-sized cities like Sundsvall seem to have considerably lower proportions of victimization than the counties, regions and nation as a whole. The rates of reporting and patterns of victimization found, however, are in accord with findings on other societal levels and could to some extent be explained through the principles of the routine activities/lifestyle theory.

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Tran, Vuong, and Sebastian Öhgren. "Analys av kvalitet i en webbpanel : Studie av webbpanelsmedlemmarna och deras svarsmönster." Thesis, Linköpings universitet, Statistik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-95456.

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During 2012, the employer of this essay carried out a telephone survey with 18000 participants and a web panel survey with 708 participants. Those who partook in the telephone survey were given a choice to join the web panel. The purpose of this work is to study the participants of the telephone survey and see if they reflect the Swedish population with regards to several socio-demographic factors. Also, we intend to investigate if the propensity to join the web panel differs for participants of the telephone survey with regards to various socio-demographic affiliations. It is also of interest to study if the response pattern is different for participants of the telephone survey that would like to join the web panel and those who reject. A comparison of response pattern between the telephone survey and web panel survey has also been done, to see if there exist any differences for these two groups of surveys. The statistical methods used in this essay are descriptive statistics, multiple logistic regression and decision trees. Conclusions to be drawn with result from these methods are that the participants from the telephone survey do reflect the Swedish population regarding certain socio-demographic factors and that there is a slight difference in propensity to join the web panel for people which have dissimilar socio-demographic affiliation. It has also been found that there is a slight difference in response pattern for participants who would or would not like to join the web panel, as well as differences in response pattern also exist between the telephone survey and the web panel survey.

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Vacanti, Rachael E. "The Greatest Show: Characteristics of Descriptive Video Service and the Box Office." Ohio University / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1534175402318917.

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Spraker, Ralph E. Jr. "How does 'just-in-time' scaffolding of descriptive and inferential statistics within an existing, quarter-long, group poster presentation of survey data impact undergraduate statistics students' ability to apply their learning?" Montana State University, 2011. http://etd.lib.montana.edu/etd/2011/spraker/SprakerR0811.pdf.

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The treatment of this project was based on the American Statistical Association's (ASA) GAISE project recommendations on how students best learn statistics. I implemented a student-designed survey and poster project to provide an opportunity for my students to learn by constructing their own knowledge through active involvement and having modeled content and technology concepts and practice. They were assessed on their statistical thinking while doing open-ended investigative project as groups instead of as individuals. They received consistent and helpful feedback on their performance from their peers and through interactions with and judges. And they learned statistics better through using technology to discover conceptual understanding as they analyzed their own data.

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Books on the topic "Descriptive statistics"

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Lemu, Mustapha I. Descriptive statistics. Kaduna: Fembo Books and Graphics, 1995.

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Miller, Hugh. Descriptive statistics. London: Open Learning Foundation, 1994.

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Rajagopalan, Hari, and Hari Rajagopalan. Descriptive Statistics. 2455 Teller Road, Thousand Oaks California 91320 United States: SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071908068.

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Loether, Herman J. Descriptive and inferential statistics: An introduction. 3rd ed. Boston: Allyn and Bacon, 1988.

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G, McTavish Donald, ed. Descriptive and inferential statistics: An introduction. 4th ed. Boston: Allyn and Bacon, 1993.

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Grais, Bernard. Statistique descriptive. 3rd ed. Paris: Dunod, 1991.

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W, Dyal William, Eddins Donald L, and Centers for Disease Control (U.S.), eds. Descriptive statistics: Tables, graphs, & charts. Atlanta, Ga: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, 1988.

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Hafner, Arthur Wayne. Descriptive statistical techniques for librarians. Chicago: American Library Association, 1989.

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Hafner, Arthur Wayne. Descriptive statistical techniques for librarians. 2nd ed. Chicago: American Library Association, 1998.

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Statistique descriptive appliquée aux sciences humaines. 5th ed. Bern: P. Lang, 1999.

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Book chapters on the topic "Descriptive statistics"

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Sarstedt, Marko, and Erik Mooi. "Descriptive Statistics." In Springer Texts in Business and Economics, 87–139. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-53965-7_5.

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Nick, Todd G. "Descriptive Statistics." In Topics in Biostatistics, 33–52. Totowa, NJ: Humana Press, 2007. http://dx.doi.org/10.1007/978-1-59745-530-5_3.

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Chatfield, Christopher. "Descriptive statistics." In Problem Solving, 84–92. Boston, MA: Springer US, 1988. http://dx.doi.org/10.1007/978-1-4899-3017-0_14.

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Ubøe, Jan. "Descriptive Statistics." In Springer Texts in Business and Economics, 1–26. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70936-9_1.

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Connolly, Kevin, and George Philips. "Descriptive statistics." In Japanese Warrant Markets, 129–62. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-12835-8_6.

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Good, Phillip I. "Descriptive Statistics." In Resampling Methods, 1–22. Boston, MA: Birkhäuser Boston, 2001. http://dx.doi.org/10.1007/978-1-4757-3425-6_1.

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Ashcroft, Stephen, and Chris Pereira. "Descriptive statistics." In Practical Statistics for the Biological Sciences, 17–29. London: Macmillan Education UK, 2003. http://dx.doi.org/10.1007/978-1-137-04085-5_2.

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Faber, Michael Havbro. "Descriptive Statistics." In Topics in Safety, Risk, Reliability and Quality, 21–42. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4056-3_3.

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Good, Phillip I. "Descriptive Statistics." In Resampling Methods, 1–25. Boston, MA: Birkhäuser Boston, 1999. http://dx.doi.org/10.1007/978-1-4757-3049-4_1.

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Wiley, Matt, and Joshua F. Wiley. "Descriptive Statistics." In Beginning R 4, 125–74. Berkeley, CA: Apress, 2020. http://dx.doi.org/10.1007/978-1-4842-6053-1_6.

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Conference papers on the topic "Descriptive statistics"

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Lübke, Karsten, and Matthias Gehrke. "Causal Diagrams for Descriptive Statistics." In Bridging the Gap: Empowering and Educating Today’s Learners in Statistics. International Association for Statistical Education, 2022. http://dx.doi.org/10.52041/iase.icots11.t3b1.

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Without random sampling and/or random allocation, even descriptive statistics such as simple means or proportions can be quite misleading. Therefore, causal diagrams were added to existing course materials to address this topic and to illustrate the differences between random and convenience samples and between observational and experimental studies. We assessed student understanding in different courses with a pre-/post-survey. Additionally, we asked students to evaluate the helpfulness of the diagrams for their understanding. There is a statistically discernible positive effect with 280 students from more than seven different courses on pre- to post-knowledge. Also, most of the students agreed with the statement that the causal diagrams helped in their understanding.

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Kulas, John, Marlee Wanamaker, Diuky Padron-Marrero, and Hui Xu. "Sample Size Sensitivity in Descriptive Baseball Statistics." In CARMA 2020 - 3rd International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/carma2020.2020.11643.

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This paper presents one element of a larger project that probes for systematicand predictable patterns of variability/volatility in baseball's descriptivestatistics. The larger project standardizes many baseball indices along anevent metric and provides relative estimates of each index’s point of inflectiontoward an empirical asymptote. Specifically these estimates reflect deviationsin sensitivity to “sample size” (e.g., which descriptive statistics are more orless robust across events). The end purpose of this broader investigation is aqualifier to be associated with such statistics: sample size sensitivity (TripleS). Not because it's needed, but because, colloquially, discussions of baseballstatistics are commonly qualified by the cautionary statement, "well, it's asmall sample size". The current presentation highlights the process and resultsof estimating the logarithmic event function of one statistic, batting average,and we will provide real-time projections of accuracy (our estimated functionversus in-coming baseball data that occurs during the CARMA conference).Results have implications for the integration of BigData applications intodigestable summary statistics that appeal to a broad-reaching audience withpractical implications and meaning.

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Kesumawati, Nila. "Students’ Ability of Statistical Reasoning in Descriptive Statistics Problem Solving." In International Conference on Mathematics and Islam. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008524905300536.

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Shahoud, Shadi, Hatem Khalloof, Clemens Duepmeier, and Veit Hagenmeyer. "Descriptive Statistics Time-based Meta Features (DSTMF)." In APPIS 2020: 3rd International Conference on Applications of Intelligent Systems. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3378184.3378221.

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Kim, Youngsung, John M. Dennis, and Christopher Kerr. "Assessing Representativeness of Kernels Using Descriptive Statistics." In 2017 IEEE International Conference on Cluster Computing (CLUSTER). IEEE, 2017. http://dx.doi.org/10.1109/cluster.2017.117.

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Kommedal, Jan H. "Use of descriptive statistics with repeatability data." In SEG Technical Program Expanded Abstracts 2008. Society of Exploration Geophysicists, 2008. http://dx.doi.org/10.1190/1.3063998.

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Guo, Jun-peng, Wen-hua Li, and Feng Gao. "Descriptive statistics of non-uniform interval symbolic data." In the first ACM/SIGEVO Summit. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1543834.1543954.

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Tian, Yuanyuan, Shirish Tatikonda, and Berthold Reinwald. "Scalable and Numerically Stable Descriptive Statistics in SystemML." In 2012 IEEE International Conference on Data Engineering (ICDE 2012). IEEE, 2012. http://dx.doi.org/10.1109/icde.2012.12.

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Yusuf, Yusfita, Hardi Suyitno, Y. L. Sukestiyarno, and Isnarto. "The Identification of Pre-Service Mathematics Teachers’ Statistical Reasoning on Descriptive Statistics." In International Conference on Science and Education and Technology (ISET 2019). Paris, France: Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200620.021.

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Pineda Becerril, Miguel De Nazareth, Omar García, Armando Aguilar, and Frida León. "Use of a Website and Virtual Laboratory for Teaching of Descriptive Statistics." In INNODOCT 2021. Valencia: Editorial Universitat Politècnica de València, 2021. http://dx.doi.org/10.4995/inn2021.2021.13490.

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Most of the statistical information in newspapers, magazines, business reports and other publications consists of data that are summarized and presented in a way that it is easy to read and understand. These summaries of data, which can be tabular, graphical or numerical are known as descriptive statistics. In addition, the presentations in tables and graphs to summarize data, numerical descriptive statistics are also used. Within this context, is developing a web page with a virtual laboratory of the themes of descriptive statistics, which proposes a study guide which aims to reorient and upgrade the approach that must address the study of statistical methods, awakening the topics that were developed so that cases raised to develop learning environments that would enable it to meet the knowledge and manipulate it. With this philosophy, applets, web sites with access to real data, software for free use and in general resources used in the web 2.0, referring to a second generation in the history of the web based on user communities, that foster collaboration and fast exchange of information between them. The technology allows us to enjoy the following principle of the use of the modern statistics. It is not as important to memorize formulas or perform complex arithmetic calculations by hand. One can instead focus on results with any type of technology, to give practical meaning to results through critical thinking. This has to make the students really have to make an effort to understand and interpret the results

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Reports on the topic "Descriptive statistics"

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Bhatt, Nikita. Descriptive statistics 2: correlation and regression. BJUI Knowledge, April 2022. http://dx.doi.org/10.18591/bjuik.0758.

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Thompson, David C., and Philippe Pierre Pebay. Scalable descriptive and correlative statistics with Titan. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/948288.

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Asif, Aqua, and Keiran Clement. Descriptive statistics 1: measures of central tendency. BJUI Knowledge, April 2022. http://dx.doi.org/10.18591/bjuik.0757.

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Andrews, Isaiah, Matthew Gentzkow, and Jesse Shapiro. On the Informativeness of Descriptive Statistics for Structural Estimates. Cambridge, MA: National Bureau of Economic Research, November 2018. http://dx.doi.org/10.3386/w25217.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the Northeastern United States. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-124.

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Randolph, KaDonna C., Sally J. Campbell, and Glenn Christensen. Descriptive statistics of tree crown condition in California, Oregon, and Washington. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-126.

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Downing, D., V. Fedorov, T. Dunigan, and S. Batsell. Poisson type models and descriptive statistics of computer network information flows. Office of Scientific and Technical Information (OSTI), August 1997. http://dx.doi.org/10.2172/661629.

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Randolph, KaDonna C., Sally J. Campbell, and Glenn Christensen. Descriptive statistics of tree crown condition in California, Oregon, and Washington. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-126.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the Northeastern United States. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-124.

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Randolph, KaDonna C., Randall S. Morin, and Jim Steinman. Descriptive statistics of tree crown condition in the North Central United States. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station, 2010. http://dx.doi.org/10.2737/srs-gtr-125.

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