Principles and procedures of statistics a biometrical approach 2nd ed.

Preface
Selected Symbols
Introduction p. 1
Observations p. 8
Probability p. 36
Sampling from a Normal Distribution p. 67
Comparisons Involving Two Sample Means p. 89
Principles of Experimental Design p. 126
Analysis of Variance I: The One-Way Classification p. 139
Multiple Comparisons p. 178
Analysis of Variance II: Multiway Classifications p. 204
Linear Regression p. 253
Linear Correlation p. 286
Matrix Notation p. 300
Linear Regression in Matrix Notation p. 308
Multiple and Partial Regression and Correlation p. 322
Analysis of Variance III: Factorial Experiments p. 352
Analysis of Variance IV: Split-Plot Designs and Analysis p. 400
Analysis of Covariance p. 429
Analysis of Variance V: Unequal Subclass Numbers p. 459
Some Uses of Chi-Square p. 478
Enumeration Data I: One-Way Classifications p. 485
Enumeration Data II: Contingency Tables p. 502
Categorical Models p. 527
Some Discrete Distributions p. 551
Nonparametric Statistics p. 562
Sampling Finite Populations p. 589
Appendix: Tables p. 605
Index p. 657