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Journal articles on the topic 'Descriptive statistics'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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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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2

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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3

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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4

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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5

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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6

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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7

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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8

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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9

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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10

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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11

Fisher, Murray J., and Andrea P. Marshall. "Understanding descriptive statistics." Australian Critical Care 22, no. 2 (2009): 93–97. http://dx.doi.org/10.1016/j.aucc.2008.11.003.

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12

Richardson, E. Greer. "Editorial: Descriptive Statistics." Foot & Ankle International 28, no. 12 (2007): 1217–20. http://dx.doi.org/10.3113/fai.2007.1217.

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13

Hoeks, Sanne, Isabella Kardys, Mattie Lenzen, Ron van Domburg, and Eric Boersma. "Tools and Techniques - Statistics: descriptive statistics." EuroIntervention 9, no. 8 (2013): 1001–3. http://dx.doi.org/10.4244/eijv9i8a167.

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14

Subanji, Subanji, Toto Nusantara, Desi Rahmatina, and Heri Purnomo. "The Statistical Creative Framework in Descriptive Statistics Activities." International Journal of Instruction 14, no. 2 (2021): 591–608. http://dx.doi.org/10.29333/iji.2021.14233a.

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15

Byrne, Gillian. "A Statistical Primer: Understanding Descriptive and Inferential Statistics." Evidence Based Library and Information Practice 2, no. 1 (2007): 32. http://dx.doi.org/10.18438/b8fw2h.

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As libraries and librarians move more towards evidence-based decision making, the data being generated in libraries is growing. Understanding the basics of statistical analysis is crucial for evidence-based practice (EBP), in order to correctly design and analyze research as well as to evaluate the research of others. This article covers the fundamentals of descriptive and inferential statistics, from hypothesis construction to sampling to common statistical techniques including chi-square, correlation, and analysis of variance (ANOVA).

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16

Gupta, Anshul, Prabhaker Mishra, ChandraM Pandey, Uttam Singh, Chinmoy Sahu, and Amit Keshri. "Descriptive statistics and normality tests for statistical data." Annals of Cardiac Anaesthesia 22, no. 1 (2019): 67. http://dx.doi.org/10.4103/aca.aca_157_18.

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17

Mathew, Merin, Dhanya Mary Louis, Georg Gutjahr, and Ravi Sankaran. "Statistics for doctors: Introduction to descriptive statistics." Amrita Journal of Medicine 20, no. 1 (2024): 47–49. http://dx.doi.org/10.4103/amjm.amjm_94_23.

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18

Egoshin, V. L., S. V. Ivanov, N. V. Savvina, G. Zh Kapanova, and A. M. Grjibovski. "DESCRIPTIVE STATISTICS USING R." Human Ecology, no. 9 (September 14, 2018): 55–64. http://dx.doi.org/10.33396/1728-0869-2018-9-55-64.

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19

C. Taeuber, Richard. "Basic data — Descriptive statistics." International Journal of Educational Research 11, no. 4 (1987): 397–401. http://dx.doi.org/10.1016/0883-0355(87)90021-8.

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20

Sheikh, Aziz, and Adrian Cook. "Descriptive statistics (Part 1)." Primary Care Respiratory Journal 7, no. 3 (1999): 32–34. http://dx.doi.org/10.1038/pcrj.1999.20.

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21

Chanoknath, Sutanapong, and Paul Louangrath. "Descriptive and Inferential Statistics." Inter. J. Res. Methodol. Soc. Sci 1, no. 1 (2018): 22–35. https://doi.org/10.5281/zenodo.1320727.

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This paper introduces two basic concepts in statistics: (i) descriptive statistics and (ii) inferential statistics. Descriptive statistics is the statistical description of the data set. Common description include: mean, median, mode, variance, and standard deviation. Inferential statistics is the drawing of inferences or conclusion based on a set of observations. These observations had been described by the descriptive statistics. From these descriptive statistics, an inference is made subject to a predefined limit or error or confidence interval. The error in concluding the inference is call

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22

Clark, Elisabeth. "Making sense of descriptive statistics." Nursing Standard 4, no. 46 (1990): 36–41. http://dx.doi.org/10.7748/ns.4.46.36.s40.

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23

Gissane, Conor. "Understanding and Using Descriptive Statistics." British Journal of Occupational Therapy 61, no. 6 (1998): 267–72. http://dx.doi.org/10.1177/030802269806100609.

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There is sometimes confusion over the correct statistical techniques that should be used in a particular setting. This paper outlines some methods that can be applied both to display information graphically and to summarise data numerically. The relative strengths and weaknesses of a number of diagrams and summary measures are examined. The particular method(s) that is used depends upon a number of factors. These are, firstly, the level of measurement of the data that have been collected; secondly, the overall distribution of the data being investigated; and, finally, the overall strategy of t

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24

Larson, Martin G. "Descriptive Statistics and Graphical Displays." Circulation 114, no. 1 (2006): 76–81. http://dx.doi.org/10.1161/circulationaha.105.584474.

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25

MEYER, JOERG. "Simple Paradoxes in Descriptive Statistics." Teaching Mathematics and its Applications 14, no. 2 (1995): 51–60. http://dx.doi.org/10.1093/teamat/14.2.51.

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26

Neri, Peter. "Classification images as descriptive statistics." Journal of Mathematical Psychology 82 (February 2018): 26–37. http://dx.doi.org/10.1016/j.jmp.2017.10.004.

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27

Yu, Fei, and Abdelmonem A. Afifi. "Descriptive Statistics in Ophthalmic Research." American Journal of Ophthalmology 147, no. 3 (2009): 389–91. http://dx.doi.org/10.1016/j.ajo.2008.12.018.

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28

Turner, Dana P., and Timothy T. Houle. "Conducting and Reporting Descriptive Statistics." Headache: The Journal of Head and Face Pain 59, no. 3 (2019): 300–305. http://dx.doi.org/10.1111/head.13489.

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29

Schober, Patrick, and Thomas R. Vetter. "Descriptive Statistics in Medical Research." Anesthesia & Analgesia 129, no. 6 (2019): 1445. http://dx.doi.org/10.1213/ane.0000000000004480.

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30

Poulton, Thomas J. "Use of descriptive statistics questioned." Air Medical Journal 14, no. 3 (1995): 121. http://dx.doi.org/10.1016/1067-991x(95)90509-x.

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31

Dong, Yihang. "Descriptive Statistics and Its Applications." Highlights in Science, Engineering and Technology 47 (May 11, 2023): 16–23. http://dx.doi.org/10.54097/hset.v47i.8159.

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This review paper examines the topic of descriptive statistics, which is a study of statistics, deriving from basic mathematics. The paper discusses common descriptive statistics using a combination of numerical examples and graphical demonstrations. The paper introduces the definitions of some basic descriptive statistics and their corresponding formulas. The paper then reviews several research articles published in recent years in which researchers have used descriptive statistics to help analyze housing prices and the relationship between the stock market and trust. This review paper consul

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32

Gudinova, Zh V., and L. V. Demakova. "Statistical analysis of medical data: descriptive statistics and group comparison." Fundamental and Clinical Medicine 8, no. 1 (2023): 119–31. http://dx.doi.org/10.23946/2500-0764-2023-8-1-119-131.

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Here we describe the most common and informative procedures for the primary statistical analysis of medical data. We emphasize the importance of using histogram, normality tests, median, percentiles, confidence intervals, ranking procedures, and as analytical tools. The material is illustrated with step-by-step graphical explanation of applying commercially available software for fulfilling these tasks. The lecture is designed for biomedical students and clinicians.

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33

Rohana, Rohana, and Yunika Lestaria Ningsih. "STUDENTS’ STATISTICAL REASONING IN STATISTICS METHOD COURSE." Jurnal Pendidikan Matematika 14, no. 1 (2019): 81–90. http://dx.doi.org/10.22342/jpm.14.1.6732.81-90.

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The role of statistics is wide and crucial in daily life, making statistics important. Many students have difficulty understanding statistics. This study aims to determine students' statistical reasoning about inference statistics, which is limited to the subject matter of the testing hypotheses about two-sample hypotheses testing. This study used descriptive research method. The subjects were 25 students of third-year Mathematics Education Departement at Universitas PGRI Palembang in the academic year 2018/2019. Data were collected through tests and interviews. Data were analyzed through desc

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34

Vaidyanathan, AnandKumar. "Basics in statistics: Sample size calculation and descriptive data statistics." Journal of Indian Prosthodontic Society 23, no. 3 (2023): 207. http://dx.doi.org/10.4103/jips.jips_307_23.

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35

Chan, Shiau Wei, Zaleha Ismail, and Bambang Sumintono. "A Refined Technology-Based Statistical Reasoning Assessment Tool in Descriptive Statistics." Advanced Science Letters 21, no. 7 (2015): 2352–55. http://dx.doi.org/10.1166/asl.2015.6273.

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36

Frühwirth-Schnatter, Sylvia. "On statistical inference for fuzzy data with applications to descriptive statistics." Fuzzy Sets and Systems 50, no. 2 (1992): 143–65. http://dx.doi.org/10.1016/0165-0114(92)90213-n.

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37

Leydesdorff, Loet. "Rejoinder to Van den Besselaar's letter entitled ?Descriptive statistics, inferential statistics, rhetorical statistics?" Journal of the American Society for Information Science and Technology 54, no. 11 (2003): 1077–78. http://dx.doi.org/10.1002/asi.10310.

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38

Delaney, Laura. "Descriptive statistics: simply telling a story." African Journal of Midwifery and Women's Health 4, no. 1 (2010): 43–48. http://dx.doi.org/10.12968/ajmw.2010.4.1.46313.

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39

Delaney, Laura. "Descriptive statistics: Simply telling a story." British Journal of Cardiac Nursing 4, no. 6 (2009): 283–89. http://dx.doi.org/10.12968/bjca.2009.4.6.42428.

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40

Sug, Hyontai. "An Oversampling Technique with Descriptive Statistics." WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS 21 (July 17, 2024): 318–32. http://dx.doi.org/10.37394/23209.2024.21.31.

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Oversampling is often applied as a means to win a better knowledge model. Several oversampling methods based on synthetic instances have been suggested, and SMOTE is one of the representative oversampling methods that can generate synthetic instances of a minor class. Until now, the oversampled data has been used conventionally to train machine learning models without statistical analysis, so it is not certain that the machine learning models will be fine for unseen cases in the future. However, because such synthetic data is different from the original data, we may wonder how much it resemble

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41

Memduh; TAŞCIOĞLU, KÖSE. "Wireless device identification using descriptive statistics." Communications Faculty Of Science University of Ankara 57, no. 1 (2015): 1–10. http://dx.doi.org/10.1501/commua1-2_0000000083.

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42

Tanikawa, Takumi. "3. Descriptive Statistics and Data Visualization." Japanese Journal of Radiological Technology 68, no. 11 (2012): 1546–54. http://dx.doi.org/10.6009/jjrt.2012_jsrt_68.11.1546.

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43

Norman, Geoffrey R., and David L. Streiner. "Descriptive statistics and the normal curve." Community Oncology 7, no. 3 (2010): 141–44. http://dx.doi.org/10.1016/s1548-5315(11)70010-9.

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44

Chaiyachati, Krisda H., and David Grande. "Correcting Errors That Modify Descriptive Statistics." JAMA Internal Medicine 178, no. 5 (2018): 731. http://dx.doi.org/10.1001/jamainternmed.2018.1447.

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45

Fulk, George. "Descriptive Statistics, An Important First Step." Journal of Neurologic Physical Therapy 47, no. 2 (2023): 63. http://dx.doi.org/10.1097/npt.0000000000000434.

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46

Harremoës, Peter. "Rate Distortion Theory for Descriptive Statistics." Entropy 25, no. 3 (2023): 456. http://dx.doi.org/10.3390/e25030456.

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Rate distortion theory was developed for optimizing lossy compression of data, but it also has applications in statistics. In this paper, we illustrate how rate distortion theory can be used to analyze various datasets. The analysis involves testing, identification of outliers, choice of compression rate, calculation of optimal reconstruction points, and assigning “descriptive confidence regions” to the reconstruction points. We study four models or datasets of increasing complexity: clustering, Gaussian models, linear regression, and a dataset describing orientations of early Islamic mosques.

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47

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied b

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48

BEYTH-MAROM, RUTH, FIONA FIDLER, and GEOFF CUMMING. "STATISTICAL COGNITION: TOWARDS EVIDENCE-BASED PRACTICE IN STATISTICS AND STATISTICS EDUCATION." STATISTICS EDUCATION RESEARCH JOURNAL 7, no. 2 (2008): 20–39. http://dx.doi.org/10.52041/serj.v7i2.468.

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Abstract:

Practitioners and teachers should be able to justify their chosen techniques by taking into account research results: This is evidence-based practice (EBP). We argue that, specifically, statistical practice and statistics education should be guided by evidence, and we propose statistical cognition (SC) as an integration of theory, research, and application to support EBP. SC is an interdisciplinary research field, and a way of thinking. We identify three facets of SC—normative, descriptive, and prescriptive— and discuss their mutual influences. Unfortunately, the three components are studied b

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49

Harmon, Robert J., GEORGE A. MORGAN, and JEFFREY A. GLINER. "CLINICIANS' GUIDE TO RESEARCH METHODS AND STATISTICS: Measurement and Descriptive Statistics." Journal of the American Academy of Child & Adolescent Psychiatry 38, no. 10 (1999): 1313–15. http://dx.doi.org/10.1097/00004583-199910000-00022.

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50

Chan, Shiau Wei, and Zaleha Ismail. "Developing Statistical Reasoning Assessment Instrument for High School Students in Descriptive Statistics." Procedia - Social and Behavioral Sciences 116 (February 2014): 4338–43. http://dx.doi.org/10.1016/j.sbspro.2014.01.943.

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