Lectures
Lecture Slides
- Lecture 1: Introduction
- Lecture 2: Introduction to Probability
- Lecture 3: Basic Counting and Conditional Probability
- Lecture 4: Independent Events and Bayes’ Theorem
- Lecture 5: Random Variables
- Lecture 6: Expectation
- Lecture 7: Normal Distribution
- Lecture 8: Miscellaneous Topics on Probability
- Lecture 9: Large Random Samples
- Lecture 10: Estimation
- Lecture 11: Maximum Likelihood Estimation
- Lecture 12: Midterm Review
- Lecture 13: Introduction to Data
- Lecture 14: Confidence Intervals: One Group
- Lecture 15: Confidence Intervals: Two Groups
- Lecture 16: Testing Hypotheses
- Lecture 17: Inference using the t distribution
- Lecture 18: Decision Errors and Power of a Test
- Lecture 19: Inference for Categorical Data
- Lecture 20: Chi-square Tests
- Lecture 21: Small Sample Inference, One-way ANOVA
- Lecture 22: Simple Linear Regression and Least Squares
- Lecture 23: Residual Analysis and Type of Outliers
- Lecture 24: Inference for Linear Regression
- Lecture 25: Multiple Linear Regression
- Lecture 26: Model Selection and Regression Diagnostics
- Lecture 27: Final Review