- Lecture 1: Introduction
- Lecture 2: Sampling Methods
- Lecture 3: Descriptive Statistics
- Lecture 4: Normal Distribution
- Lecture 5: Sampling Distributions and the Central Limit Theorem
- Lecture 6: Confidence Intervals
- Lecture 7: Confidence Intervals with the t-Distribution
- Lecture 8: Hypothesis Testing
- Lecture 9: Inference for Two Means
- Lecture 10: Power and Sample Size Calculations
- Lecture 11: Inference for One Proportion
- Lecture 12: Inference for Two Proportions
- Lecture 13: Chi-Square Tests
- Lecture 14: Simple Linear Regression
- Lecture 15: Inference for Simple Linear Regression
- Lab 1: Intro to R
- Lab 2: Subsetting and Basic Data Summaries
- Lab 3: Intro to Data Visualization
- Lab 4: Normal Distribution in R
- Lab 5: Sampling Distributions
- Lab 6: Intro to the Bootstrap
- Lab 7: Inference for Means Using R
- Lab 8: Inference for Proportions and Chi-Square Tests using R
- Lab 9: Data Wrangling with dplyr