Statistical Inference with R

Workshop Series · GW Libraries & Academic Innovation · Fall 2026

Dan Kerchner · George Washington University

1

Inference for Continuous Data

t-tests, confidence intervals, and ANOVA for comparing means. Assumptions, diagnostics, and visualizations.

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2

Inference for Categorical Data

Chi-square tests, proportions, and Fisher's exact test. Working with counts and contingency tables in R.

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3

Linear & Logistic Regression Modeling

Build, interpret, and evaluate linear and logistic regression models. Predictors, model fit, and predictions in R.

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