R Coding Practice

Practice statistical programming in R through short fill-in-the-blank exercises.

Module 1

Working with Data

Learning how to manipulate, summarize, and visualize data.

Data Wrangling →

Data Summarization & Visualization →

Module 2

Probability & Statistical Inference

Explore probability distributions and sampling distributions using R.

• Binomial Distribution →
• Normal Distribution →
• Sampling Distributions →

Module 3

Comparing Groups

Practice statistical tests for quantitative outcomes with 1-2 groups.

• One-sample t-tests
• Wilcoxon signed-rank tests
• Two-sample t-tests
• Wilcoxon rank-sum tests
• Paired t-tests

Module 4

ANOVA & Regression

Practice statistical tests for quantitative outcomes with more than 2 groups or continuous predictors.

• ANOVA
• Simple linear regression

Module 5

Categorical Data

Practice hypothesis tests for categorical variables.

• Tests for one proportion
• Chi-squared tests
• Fisher’s exact test