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Loy, Adam; Kuiper, Shonda; Chihara, Laura – Journal of Statistics Education, 2019
This article describes a collaborative project across three institutions to develop, implement, and evaluate a series of tutorials and case studies that highlight fundamental tools of data science--such as visualization, data manipulation, and database usage--that instructors at a wide-range of institutions can incorporate into existing statistics…
Descriptors: Undergraduate Study, Data Collection, Data Analysis, Statistics
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Stone, Brian W.; Kay, Donovan; Reynolds, Anthony – Journal of Statistics Education, 2019
Instructors of postsecondary classes in statistics rely heavily on visuals in their teaching, both within the classroom and in resources like textbooks, handouts, and software, but this information is often inaccessible to students who are blind or visually impaired (BVI). The unique challenges involved in adapting both pedagogy and course…
Descriptors: College Students, Visual Impairments, Blindness, Teaching Methods
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Stander, Julian; Dalla Valle, Luciana – Journal of Statistics Education, 2017
We discuss the learning goals, content, and delivery of a University of Plymouth intensive module delivered over four weeks entitled MATH1608PP Understanding Big Data from Social Networks, aimed at introducing students to a broad range of techniques used in modern Data Science. This module made use of R, accessed through RStudio, and some popular…
Descriptors: Foreign Countries, College Students, College Mathematics, Statistics
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Bellera, Carine A.; Julien, Marilyse; Hanley, James A. – Journal of Statistics Education, 2010
The Wilcoxon statistics are usually taught as nonparametric alternatives for the 1- and 2-sample Student-"t" statistics in situations where the data appear to arise from non-normal distributions, or where sample sizes are so small that we cannot check whether they do. In the past, critical values, based on exact tail areas, were…
Descriptors: Nonparametric Statistics, Sample Size, Statistical Distributions, Visual Aids
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Zhou, Lutong; Braun, W. John – Journal of Statistics Education, 2010
The increasing popularity of R is leading to an increase in its use in undergraduate courses at universities (R Development Core Team 2008). One of the strengths of R is the flexible graphics provided in its "base" package. However, students often run up against its limitations, or they find the amount of effort to create an interesting plot may…
Descriptors: Computer Software, Undergraduate Students, Computer Graphics, Visual Aids
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Doane, David P.; Seward, Lori E. – Journal of Statistics Education, 2011
This paper discusses common approaches to presenting the topic of skewness in the classroom, and explains why students need to know how to measure it. Two skewness statistics are examined: the Fisher-Pearson standardized third moment coefficient, and the Pearson 2 coefficient that compares the mean and median. The former is reported in statistical…
Descriptors: Monte Carlo Methods, Statistics, Visual Aids, Computer Software