Statistical Commons

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The Statistical Commons is a repository for lecture notes, problem sets, exams, educational data sets and code. The repository contains complete sets of course materials and other contributed class materials, e.g. , projects and exams.

Statistical Commons Course Inventory

Course Title
 Author
Institution
Course Duration
Prerequisites
Last Updated
 Data Analysis and Statistical Inference
 Mine Centinkaya-Rundel
 Duke University
 2 lectures, 1 lab per week, semester
 None Spring 2016
 Introduction to Biostatistics
 Kari Lock Morgan
 Penn State University
 2 lectures, 1 lab per week, semester College Algebra
 Spring 2016
 Probability and Statistical Inference
 David Banks
 Duke University
 2 lectures, 1 lab per week, semester
 Calculus I
 Spring 2016

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Other Resources

Stats 101: A collection of case studies for instructors of Introductory Statistics.

Assessment Resource Tools for Improving Statistical Thinking (ARTIST)

Project MOSAIC: Modelling, Statistics, Calculus, and Computation

OpenIntro: Free and open source resources

statsTeachR: Open-access, online repository of modular lesson plans for teaching statistics using R at the undergraduate and graduate level.

Sample PhD Qualifying Exams from the UMass Amherst

Contributions to the Statistical Commons

Please use this form to make a contribution to the Statistical Commons. If you have any questions or concerns, contact Donna LaLonde at donnal@amstat.org. Thank you for helping us grow the Statistical Commons!

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