Chapter 1: Drawing Statistical Conclusions 1
Chapter 2: Inference Using t-Distributions 5
Chapter 3: A Closer Look at Assumptions 9
Chapter 4: Alternatives to the t-Tools 15
Chapter 5: Comparisons Among Several Samples 20
Chapter 6: Linear Combinations and Multiple Comparisons of Means 25
Chapter 7: Simple Linear Regression: A Model for the Mean 33
Chapter 8: A Closer Look at Assumptions for Simple Linear Regression 39
Chapter 9: Multiple Regression 47
Chapter 10: Inferential Tools for Multiple Regression 55
Chapter 11: Model Checking and Refinement 65
Chapter 12: Model Selection with Large Numbers of Explanatory Variables 80
Chapter 13: The Analysis of Variance for Two-way Classification 85
Chapter 14: Multifactor Studies 91
Chapter 15: Adjustment for Serial Correlation 103
Chapter 16: Repeated Measures 116
Chapter 17: Exploratory Tools for Summarizing Multivariate Responses 123
Chapter 18: Comparisons of Proportions or Odds 133
Chapter 19: More Tools for Tables of Counts 135
Chapter 20: Logistic Regression for Binary Response Variables 137
Chapter 21: Logistic Regression for Binomial Counts 143
Chapter 22: Log-Linear Regression for Poisson Counts 150
Chapter 23: Elements of Research Design 155
Chapter 24: Factorial Treatment Arrangements and Blocking Designs 158