Includes index. Includes bibliographical references and index.

Introduction -- Observations -- Probability -- Sampling from a normal distribution -- Comparisons involving two sample means -- Principles of experimental design -- Analysis of variance I: the one-way classification -- Multiple comparisons -- Analysis of variance II: multiway classifications -- Linear regression -- Linear correlation -- Matrix notation -- Linear regression in matrix notation -- Multiple and partial regression and correlation -- Analysis of variance III: factorial experiments -- Analysis of variance IV: split-plot designs and analysis -- Analysis of covariance -- Analysis of variance V: unequal subclass numbers -- Curve fitting -- Some uses of chi square -- Enumeration data I: one-way classifications -- Enumeration data II: contingency tables -- Some discrete distributions -- Nonparametric statistics -- Sampling finite populations.