I Hear, I Forget. I Do, I Understand: A Modified Moore-Method Mathematical Statistics Course

DOI10.1080/00031305.2013.849207OpenAlexW2025394100WikidataQ59688035 ScholiaQ59688035MaRDI QIDQ5877141

Nicholas J. Horton

Publication date: 3 February 2023

Published in: The American Statistician (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1309.7445

zbMATH Keywords

statistical computingR softwareintermediate statisticssimulation studiesstatistical educationreproducible analysiscapstone courseempirical problem solvingrstudio integrated development environment

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (6)

Foundations of Statistics for Data Scientists: With R and Python ⋮ Challenges and Opportunities for Statistics and Statistical Education: Looking Back, Looking Forward ⋮ Teaching the Next Generation of Statistics Students to “Think With Data”: Special Issue on Statistics and the Undergraduate Curriculum ⋮ A Framework for Infusing Authentic Data Experiences Within Statistics Courses ⋮ Fostering Conceptual Understanding in Mathematical Statistics ⋮ The foundations of statistical science: a history of textbook presentations

Uses Software

• R
• Sweave
• BayesDA
• fastR
• knitr
• LaTeX

Cites Work

• A Model for an Interdisciplinary Undergraduate Research Program
• Computing in the Statistics Curricula
• The Moore Method
• What Is Statistics?
• A Capstone Course for Undergraduate Statistics Majors
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