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Direct linkLübke, Karsten; Gehrke, Matthias; Horst, Jörg; Szepannek, Gero – Journal of Statistics Education, 2020
Basic knowledge of ideas of causal inference can help students to think beyond data, that is, to think more clearly about the data generating process. Especially for (maybe big) observational data, qualitative assumptions are important for the conclusions drawn and interpretation of the quantitative results. Concepts of causal inference can also…
Descriptors: Inferences, Simulation, Attribution Theory, Teaching Methods
Whitaker, Douglas; Jacobbe, Tim – Journal of Statistics Education, 2017
Bar graphs and histograms are core statistical tools that are widely used in statistical practice and commonly taught in classrooms. Despite their importance and the instructional time devoted to them, many students demonstrate misunderstandings when asked to read and interpret bar graphs and histograms. Much of the research that has been…
Descriptors: Secondary School Students, Graphs, Knowledge Level, Statistics
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
Ludlow, Larry; Klein, Kelsey – Journal of Statistics Education, 2014
Correlated predictors in regression models are a fact of life in applied social science research. The extent to which they are correlated will influence the estimates and statistics associated with the other variables they are modeled along with. These effects, for example, may include enhanced regression coefficients for the other variables--a…
Descriptors: Statistics, Correlation, Predictor Variables, Regression (Statistics)
Bargagliotti, Anna E. – Journal of Statistics Education, 2012
Statistics and probability have become an integral part of mathematics education. Therefore it is important to understand whether curricular materials adequately represent statistical ideas. The "Guidelines for Assessment and Instruction in Statistics Education" (GAISE) report (Franklin, Kader, Mewborn, Moreno, Peck, Perry, & Scheaffer, 2007),…
Descriptors: Elementary School Mathematics, Alignment (Education), Probability, Statistics
Pruzek, Robert M.; Helmreich, James E. – Journal of Statistics Education, 2009
A standard topic in many Introductory Statistics courses is the analysis of dependent samples. A simple graphical approach that is particularly relevant to dependent sample comparisons is presented, illustrated and discussed in the context of analyzing five real data sets. Each data set to be presented has been published in a textbook, usually…
Descriptors: Statistics, Introductory Courses, Sampling, Data Analysis
