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Fergusson, Anna; Pfannkuch, Maxine – Journal of Statistics Education, 2020
Informally testing the fit of a probability distribution model is educationally a desirable precursor to formal methods for senior secondary school students. Limited research on how to teach such an informal approach, lack of statistically sound criteria to enable drawing of conclusions, as well as New Zealand assessment requirements led to this…
Descriptors: Foreign Countries, Statistics Education, Probability, Goodness of Fit
Eadie, Gwendolyn; Huppenkothen, Daniela; Springford, Aaron; McCormick, Tyler – Journal of Statistics Education, 2019
We present an active-learning strategy for undergraduates that applies Bayesian analysis to candy-covered chocolate m&m's®. The exercise is best suited for small class sizes and tutorial settings, after students have been introduced to the concepts of Bayesian statistics. The exercise takes advantage of the nonuniform distribution of…
Descriptors: Undergraduate Students, Bayesian Statistics, Active Learning, Learning Activities
Kasprowicz, Tomasz; Musumeci, Jim – Journal of Statistics Education, 2015
One econometric rule of thumb is that greater dispersion in observations of the independent variable improves estimates of regression coefficients and therefore produces better results, i.e., lower standard errors of the estimates. Nevertheless, students often seem to mistrust precisely the observations that contribute the most to this greater…
Descriptors: Regression (Statistics), Teaching Methods, Active Learning, Observation
Watkins, Ann E.; Bargagliotti, Anna; Franklin, Christine – Journal of Statistics Education, 2014
Although the use of simulation to teach the sampling distribution of the mean is meant to provide students with sound conceptual understanding, it may lead them astray. We discuss a misunderstanding that can be introduced or reinforced when students who intuitively understand that "bigger samples are better" conduct a simulation to…
Descriptors: Simulation, Sampling, Sample Size, Misconceptions
Wroughton, Jacqueline; Cole, Tarah – Journal of Statistics Education, 2013
Recognizing the differences between three discrete distributions (Binomial, Hypergeometric and Negative Binomial) can be challenging for students. We present an activity designed to help students differentiate among these distributions. In addition, we present assessment results in the form of pre- and post-tests that were designed to assess the…
Descriptors: Statistics, Mathematics Instruction, Active Learning, Mathematical Concepts
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
Libman, Zipora – Journal of Statistics Education, 2010
This article looks at a process of integrating real-life data investigation in a course on descriptive statistics. Referring to constructivist perspectives, this article suggests a look at the potential of inculcating alternative teaching methods that encourage students to take a more active role in their own learning and participate in the…
Descriptors: Statistics, Instruction, Teaching Methods, Constructivism (Learning)
Doane, David P. – Journal of Statistics Education, 2004
Many students doubt that statistical distributions are of practical value. Simulation makes it possible for students to tackle challenging, understandable projects that illustrate how distributions can be used to answer "what-if" questions of the type often posed by analysts. Course materials that have been developed over two years of classroom…
Descriptors: Statistical Distributions, Relevance (Education), Mathematical Concepts, Mathematics Instruction