Principles and Procedures of Statistics: A Biometrical Approach

Statistics defined; Some history of statistics; Statistics and the scientific method; Studing statistics; 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 use of chi square; Enumeration data I; One-way classifications; Enumeration Data II: Contingency table; Some discrete distributions; Nonparametric statistics; Sampling finite populations.