Exercises from
Steel and Torrie
Chapter 02 Observations
Chapter 03 Probability
Chapter 04 Sampling from Normal Distribution
Chapter 05 Comparisons Involving Two Sample Means
Chapter 07 Analysis of Variance I: The One-Way Classification
Chapter 08 Multiple Comparisons
Chapter 09 Analysis of Variance II: Multiway Classification
Chapter 10 Linear Regression
Chapter 11 Linear Correlation
Chapter 13 Linear Regression in Matrix Notation
Chapter 14 Multiple and Partial Regression and Correlation
Chapter 15 Analysis of Variance III: Factorial Experiments
Chapter 16 Analysis of Variance IV: Split-Plot Designs and Analysis
Chapter 17 Analysis of Covariance
Chapter 18 Analysis of Variance V: Unequal Subclass Numbers
Chapter 19 Curve Fitting
Chapter 20 Some Uses of Chi Square
Chapter 21 Enumeration Data I: One-Way Classifications
Chapter 22 Enumeration Data II: Contingency Tables
Chapter 23 Some Discrete Distributions
Chapter 24 Nonparametric Statistics
Chapter 25 Sampling Finite Populations