Video Tutorials for An R Companion to Political Analysis, 3rd Edition

An R Companion to Political Analysis, 3rd Edition Video Tutorials: Hypothesis Tests with One and Two Samples

About This Page

This page features video tutorials and resources to help you do political analysis with R. We created this page, and related pages, to supplement our R Companion to Political Analysis. Where possible, we leverage existing videos, but have created a number of custom online code demonstrations for our textbook.

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Watch and Learn: Hypothesis Tests with One and Two Samples


One-Sample t Test & Confidence Interval with Example
From Mike Marin (4:40)


Hypothesis Tests on Means
From Ed Boone (7:29)


Conducting Paired Samples t-Test
From R Statistics and Research (5:29)

Watch and Learn: Hypothesis Tests with One and Two Samples


One-Sample t Test & Confidence Interval with Example
From Mike Marin (4:40)


Hypothesis Tests on Means
From Ed Boone (7:29)

Watch and Learn: Hypothesis Tests with One and Two Samples


One-Sample t Test & Confidence Interval with Example
From Mike Marin (4:40)

Additional Resources

Quantitative Research Methods for Political Science, Public Policy and Public Administration
Web site for book, based on R, by Jenkins-Smith et al.

Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R console

Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of R

R Documentation
Online help files.

R Bloggers
Many useful articles, frequently updated.

Additional Resources

Quantitative Research Methods for Political Science, Public Policy and Public Administration
Web site for book, based on R, by Jenkins-Smith et al.

Swirl Stats
Teaches you R programming and data science interactively, at your own pace, and right in the R console

Data Analytics
From Mark Gardener, resources for data analysis and especially in the use of R

Additional Resources

Quantitative Research Methods for Political Science, Public Policy and Public Administration
Web site for book, based on R, by Jenkins-Smith et al.