Course Material

Lecture Notes

Chapters 3 – 5: Review  (filled notes) (Solution to problems)

Chapter 6: Point estimation
Chapter 6.1: Introduction and Basic Concepts   (filled notes)
Chapter 6.2: Estimation Methods   (filled notes)

Chapter 7: Confidence intervals (One Sample)
Chapter 7.1: Introduction and Basic Concepts   (filled notes)
Chapter 7.2: Large Sample Intervals   (filled notes)
Chapter 7.3: Normal Population-Based Intervals   (filled notes)

Chapter 8: Hypothesis Testing (One Sample)
Chapter 8.1: Hypotheses and Test Procedures (filled notes)
Chapter 8.2: Tests for Population Mean (filled notes)
Chapter 8.3: Tests for Population Proportion (filled notes)
Chapter 8.4: P-value (filled notes)

Chapter 9: Inference for two samples
Chapter 9.1: Two sample z-tests and confidence intervals (filled notes)
Chapter 9.2: Two-sample t-tests and confidence intervals (filled notes)
Chapter 9.3: Analysis of Paired data (filled notes)
Chapter 9.4: Inference about population proportions (filled notes)
Chapter 9.5: Inference about population variances

Chapter 10: Analysis of Variance
Chapter 10.1: Single Factor Analysis of Variance   (filled notes) Example Data
Chapter 10.2: Multiple Comparison   (filled notes)

Chapter 12: Simple Linear Regression
Chapter 12.1: The simple linear regression model   (filled notes) Example Data
Chapter 12.2: Estimating Model Parameters   (filled notes)
Chapter 12.3: Inference About the Slope Parameter   (filled notes)
Chapter 12.4: Prediction   (filled notes)