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Showing 1 to 15 of 334 results Save | Export
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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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Yates, Philip A. – Journal of Statistics Education, 2019
When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…
Descriptors: Factor Analysis, Mathematics Education, Regression (Statistics), Classification
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Groth, Randall E. – Journal of Statistics Education, 2019
The Common Core State Standards for Mathematics have a widespread impact on children's statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research…
Descriptors: Common Core State Standards, Grade 4, Grade 5, Grade 6
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Ross, Kevin; Sun, Dennis L. – Journal of Statistics Education, 2019
Simulation is an effective tool for analyzing probability models as well as for facilitating understanding of concepts in probability and statistics. Unfortunately, implementing a simulation from scratch often requires users to think about programming issues that are not relevant to the simulation itself. We have developed a Python package called…
Descriptors: Simulation, Statistics, Computer Software, Programming Languages
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Rossman, Allan J.; Burrill, Gail – Journal of Statistics Education, 2019
Gail Burrill is a Mathematics Specialist in the Program in Mathematics Education at Michigan State University. She previously served as secondary teacher and department chair. She was President of the National Council of Teachers of Mathematics and is currently President of the International Association for Statistical Education. She is a Fellow…
Descriptors: Interviews, Specialists, College Faculty, Mathematics Education
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Soesmanto, Tommy; Bonner, Suzanne – Journal of Statistics Education, 2019
In recent years, the Australian tertiary education sector embraced the gradual adaption of the dual mode system in course delivery in universities and higher degree education providers. In such systems, students have the option, as well as the flexibility, to undertake the same course in a face-to-face (F2F) environment and/or an online…
Descriptors: Online Courses, Synchronous Communication, Introductory Courses, Statistics
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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
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Fiksel, Jacob; Jager, Leah R.; Hardin, Johannna S.; Taub, Margaret A. – Journal of Statistics Education, 2019
Git and GitHub are common tools for keeping track of multiple versions of data analytic content, which allow for more than one person to simultaneously work on a project. GitHub Classroom aims to provide a way for students to work on and submit their assignments via Git and GitHub, giving teachers an opportunity to facilitate the integration of…
Descriptors: Statistics, Mathematics Instruction, Computer Software, Computer Uses in Education
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Bárcena, M. J.; Garín, M. A.; Martín, A.; Tusell, F.; Unzueta, A. – Journal of Statistics Education, 2019
Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968, and subsequent search for the nuclear submarine USS Scorpion. Students work on a simplified…
Descriptors: Computer Simulation, Computer Assisted Instruction, Teaching Methods, Bayesian Statistics
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Yan, Donghui; Davis, Gary E. – Journal of Statistics Education, 2019
"Data science" is a discipline that provides principles, methodology, and guidelines for the analysis of data for tools, values, or insights. Driven by a huge workforce demand, many academic institutions have started to offer degrees in data science, with many at the graduate, and a few at the undergraduate level. Curricula may differ at…
Descriptors: Introductory Courses, Statistics, Data Analysis, Undergraduate Study
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Immekus, Jason C. – Journal of Statistics Education, 2019
This article examines the integration of cognitive psychology research and technology within existing frameworks of statistics course design and implementation for a sequence of flipped graduate-level courses. Particular focus is the use of the principles of spacing and retrieval practice within the flipped classroom format as strategic approaches…
Descriptors: Blended Learning, Statistics, Cognitive Psychology, Curriculum Design
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Chance, Beth; Reynolds, Shea – Journal of Statistics Education, 2019
Through a series of explorations, this article will demonstrate how the Kentucky Derby winning times dataset provides various opportunities for introductory and advanced topics, from data processing to model building. Although the final goal may be a prediction interval, the dataset is rich enough for it to appear in several places in an…
Descriptors: Prediction, Statistics, Data Processing, Homework
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Zimmerman, Whitney Alicia; Kang, Hyun Bin; Kim, Kyung; Gao, Mengzhao; Johnson, Glenn; Clariana, Roy; Zhang, Fan – Journal of Statistics Education, 2018
Over two semesters short essay prompts were developed for use with the Graphical Interface for Knowledge Structure (GIKS), an automated essay scoring system. Participants were students in an undergraduate-level online introductory statistics course. The GIKS compares students' writing samples with an expert's to produce keyword occurrence and…
Descriptors: Undergraduate Students, Introductory Courses, Statistics, Computer Assisted Testing
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Rossman, Allan; Kotz, Brian – Journal of Statistics Education, 2018
Brian Kotz is Professor of Mathematics and Statistics at Montgomery College. He is a former member of the American Statistical Association/American Mathematical Association of Two-Year Colleges (ASA)/(AMATYC) Joint Committee and the current chair of the AMATYC Data Science Subcommittee. This interview took place via email on November 23,…
Descriptors: Two Year Colleges, Statistics, Data, Teaching Experience
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Fawcett, Lee – Journal of Statistics Education, 2018
In this article we discuss our attempt to incorporate research-informed learning and teaching activities into a final year undergraduate Statistics course. We make use of the Shiny web-based application framework for R to develop "Shiny apps" designed to help facilitate student interaction with methods from recently published papers in…
Descriptors: Undergraduate Students, Foreign Countries, Statistics, Mathematics Instruction
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