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Hans Humenberger – Teaching Statistics: An International Journal for Teachers, 2025
In the last years special "ovals" appear increasingly often in diagrams and applets for discussing crucial items of statistical inference (when dealing with confidence intervals for an unknown probability p; approximation of the binomial distribution by the normal distribution; especially in German literature, see e.g. [Meyer,…
Descriptors: Computer Oriented Programs, Prediction, Intervals, Statistical Inference
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Jyotirmoy Sarkar; Mamunur Rashid – Teaching Statistics: An International Journal for Teachers, 2024
A single discrete random variable is depicted by a stick diagram, a 2D picture. Naturally, to visualize a bivariate discrete distribution, one can use a bivariate stick diagram, a 3D picture. Unfortunately, many students have difficulty understanding and processing 3D pictures. Therefore, we construct an alternative 2D disc plot to depict the…
Descriptors: Visualization, Statistical Distributions, Concept Formation, Mathematics
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Tipton, Elizabeth – American Journal of Evaluation, 2022
Practitioners and policymakers often want estimates of the effect of an intervention for their local community, e.g., region, state, county. In the ideal, these multiple population average treatment effect (ATE) estimates will be considered in the design of a single randomized trial. Methods for sample selection for generalizing the sample ATE to…
Descriptors: Sampling, Sample Size, Selection, Randomized Controlled Trials
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Muurlink, Olav; Gould, Anthony M.; Joullié, Jean-Etienne – Sociological Methods & Research, 2023
Development of graphical methods for representing data has not kept up with progress in statistical techniques. This article presents a brief history of graphical representations of research findings and makes the case for a revival of methods developed in the early and mid-twentieth century, notably ISOTYPE and Chernoff's faces. It resurrects and…
Descriptors: Visual Aids, Visualization, Data Analysis, Research Methodology
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Noma, Hisashi; Hamura, Yasuyuki; Gosho, Masahiko; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has been an essential methodology of systematic reviews for comparative effectiveness research. The restricted maximum likelihood (REML) method is one of the current standard inference methods for multivariate, contrast-based meta-analysis models, but recent studies have revealed the resultant confidence intervals of average…
Descriptors: Network Analysis, Meta Analysis, Regression (Statistics), Error of Measurement
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Riley, Richard D.; Collins, Gary S.; Hattle, Miriam; Whittle, Rebecca; Ensor, Joie – Research Synthesis Methods, 2023
Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers should consider the power of their planned IPDMA conditional on the studies promising their IPD and their characteristics. Such power estimates help inform whether the IPDMA project is worth the time and funding investment, before IPD are collected. Here,…
Descriptors: Computation, Meta Analysis, Participant Characteristics, Data
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Delport, Danri H. – Teaching Statistics: An International Journal for Teachers, 2021
It is said that a picture is worth a thousand words, but what about graphs? Although graphs have the potential to bring data to life, numerous studies show that learners struggle with graphical comprehension. Furthermore, many textbook examples on graphs are boring and appear meaningless to students. Students want to know more about something…
Descriptors: Statistics Education, Introductory Courses, Graphs, Teaching Methods
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van Doorn, Johnny; Matzke, Dora; Wagenmakers, Eric-Jan – Psychology Learning and Teaching, 2020
Sir Ronald Fisher's venerable experiment "The Lady Tasting Tea" is revisited from a Bayesian perspective. We demonstrate how a similar tasting experiment, conducted in a classroom setting, can familiarize students with several key concepts of Bayesian inference, such as the prior distribution, the posterior distribution, the Bayes…
Descriptors: Bayesian Statistics, Statistical Inference, Statistical Distributions, Sequential Approach
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Dunn, Peter K.; Marshman, Margaret – Australian Mathematics Education Journal, 2021
This is the fourth in a series of statistical articles for mathematics teachers. In this article, the authors discuss topics in General Mathematics in Unit 2 Topic 1 (Univariate data analysis and the statistical investigation process) and topics in Essential Mathematics, Unit 2 Topic 1 (Representing and comparing data).
Descriptors: Mathematics Education, Mathematics Instruction, Data Analysis, Graphs
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Wang, Chia-Chun; Lee, Wen-Chung – Research Synthesis Methods, 2019
A systematic review and meta-analysis is an important step in evidence synthesis. The current paradigm for meta-analyses requires a presentation of the means under a random-effects model; however, a mean with a confidence interval provides an incomplete summary of the underlying heterogeneity in meta-analysis. Prediction intervals show the range…
Descriptors: Meta Analysis, Computation, Statistical Analysis, Prediction
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Guskey, Thomas R. – NASSP Bulletin, 2019
School leaders today are making important decisions regarding education innovations based on published average effect sizes, even though few understand exactly how effect sizes are calculated or what they mean. This article explains how average effect sizes are determined in meta-analyses and the importance of including measures of variability…
Descriptors: Effect Size, Educational Innovation, Meta Analysis, Statistical Distributions
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Autin, Melanie A.; Gerstenschlager, Natasha E. – Teaching Statistics: An International Journal for Teachers, 2019
The negative hypergeometric distribution is often not formally studied in secondary or collegiate statistics in contexts other than drawing cards without replacement. We present a different context with the potential of engaging students in simulating and exploring data.
Descriptors: Statistics, Teaching Methods, Simulation, Educational Games
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McAlevey, Lynn G.; Stent, Alan F. – International Journal of Mathematical Education in Science and Technology, 2018
The treatment of kurtosis in textbooks is both sparse and contradictory with applications rarely discussed. To address this, an easily understood definition of kurtosis is introduced and important applications are demonstrated. Two different approaches to teaching kurtosis are presented based on a financial application.
Descriptors: Statistical Distributions, Undergraduate Students, Probability, Statistical Data
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Page, Robert B.; Espinosa, James; Mares, Chris A.; Del Pilar, Joselyn; Shelton, G. Robert – Journal of College Science Teaching, 2018
Education is frequently cited as the path to an informed citizenry with an optimistic economic outlook. Consequently, it is not surprising that there is an initiative to extend postsecondary educational opportunities to underserved and at-risk demographics. A challenge facing educators that serve at-risk populations is the tension between…
Descriptors: At Risk Students, STEM Education, Academic Achievement, Statistical Distributions
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Wagaman, John C. – Teaching Statistics: An International Journal for Teachers, 2017
This article describes four semesters of introductory statistics courses that incorporate service learning and gardening into the curriculum with applications of the binomial distribution, least squares regression and hypothesis testing. The activities span multiple semesters and are iterative in nature.
Descriptors: Introductory Courses, Statistics, Service Learning, Gardening
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