Lectures

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Chapters 1 & 2: Introduction & Preliminaries (pdf)

Chapter 3: Probability (pdf)

Chapters 4 & 5: Discrete & Continuous Random Variables (pdf)

Chapter 6: Population Attributes (pdf)

Chapter 7: Data (pdf)

Chapter 8: Lots of Data (pdf)

Chapter 9: Inference (pdf)

Chapter 10: 1-Sample Location Problems (pdf)

Chapter 11: 2-Sample Location Problems (pdf)

Chapter 12: The Analysis of Variance (ANOVA) (pdf)

Chapter 12: SIRFLUX.csv (csv)

Chapter 13: Goodness of Fit (pdf)

Chapter 14: Association (pdf)

Chapter 15: Simple Linear Regression (pdf)

R Introduction/Review (pdf)

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