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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: 25 July 2025

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Journal articles on the topic "Descriptive statistics"

1

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

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Bulman, J. S., and J. F. Osborn. "Descriptive statistics." British Dental Journal 166, no. 2 (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 (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 (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 (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 (2013): 15. http://dx.doi.org/10.4038/sljs.v31i1.5268.

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

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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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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 a

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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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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-

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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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<p>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 choco

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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 s

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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

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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 th

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Books on the topic "Descriptive statistics"

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

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Rajagopalan, Hari, and Hari Rajagopalan. Descriptive Statistics. SAGE Publications, Inc., 2023. http://dx.doi.org/10.4135/9781071908068.

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

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

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

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Grais, Bernard. Statistique descriptive. 3rd ed. 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. U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, 1988.

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Chattamvelli, Rajan, and Ramalingam Shanmugam. Descriptive Statistics for Scientists and Engineers. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-32330-0.

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Mengal, Paul. Statistique descriptive appliquée aux sciences humaines. 3rd ed. Lang, 1991.

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Mengal, Paul. Statistique descriptive appliquée aux sciences humaines. 4th ed. P. Lang, 1994.

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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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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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Dejanović, Milan, Stefan Panić, Danijel Đošić, and Dejan Milić. "Computing Descriptive Statistics of Bluetooth Signals Using a Neural Network." In 2025 24th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2025. https://doi.org/10.1109/infoteh64129.2025.10959200.

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Vásquez, Marco A., Paul A. Salazar, Raúl G. Calero, and José F. Cevallos. "Feasibility study using descriptive statistics for the development of a C++ language to block diagram translator." In 2024 IEEE Eighth Ecuador Technical Chapters Meeting (ETCM). IEEE, 2024. http://dx.doi.org/10.1109/etcm63562.2024.10746182.

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Rus, Madalina, Silvia Veresiu, Elena Mereuta, Valentin Amortila, and George Balasoiu. "EVALUATING THE IMPACT OF AUTOMOBILE POLLUTION ON THE HEALTH OF THE ROMANIAN POPULATION THROUGH STATISTICAL METHODS." In 24th SGEM International Multidisciplinary Scientific GeoConference 24. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/4.1/s19.52.

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This research aims to conduct a descriptive statistical analysis to identify the statistical correlation between categories of new and second-hand vehicles registered for circulation in Romania and various health conditions associated with atmospheric pollution. Currently, a significant challenge for the global community lies in mitigating the impact of atmospheric pollution, considered a crucial factor both in terms of global climate change and its impact on public health. One major source of atmospheric pollution stems from emissions generated by internal combustion engines in the transporta

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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 stud

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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. 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 s

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Wang, Xiaoyi, and Kasper Hornbæk. "Multi-state Visualizations of Descriptive Statistics." In AVI 2024: International Conference on Advanced Visual Interfaces 2024. ACM, 2024. http://dx.doi.org/10.1145/3656650.3656662.

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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. 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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Reports on the topic "Descriptive statistics"

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Bhatt, Nikita. Descriptive statistics 2: correlation and regression. BJUI Knowledge, 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), 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, 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. National Bureau of Economic Research, 2018. http://dx.doi.org/10.3386/w25217.

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Gruber, Peter. Using ChatGPT for Advanced Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/pmgm4wmm7ffer469.

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This workshop teaches researchers, from PhD students to professors, how to use ChatGPT and its Advanced Data Analytics tool for statistical analysis without writing a line of code or even knowing how to use a statistics program. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its implications for data analysis.

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

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