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