BASIC PROBABILITY AND STATISTICS. The Nature of Statistics. Descriptive Statistics. Probability. Probability Distributions. Two Random Variables. INFERENCE FOR MEANS AND PROPORTIONS. Sampling. Point Estimation. Confidence Intervals. Hypothesis Testing. Analysis of Variance. REGRESSION: RELATING TWO OR MORE VARIABLES. Fitting a Line. Simple Regression. Multiple Regression. Regression Extensions. Correlation. TOPICS IN CLASSICAL AND BAYESIAN INFERENCE. Nonparametric and Robust Statistics. Chi Square Tests. Maximum Likelihood Estimation. Bayesian Inference. Bayesian Decision Theory. SPECIAL TOPICS FOR BUSINESS AND ECONOMICS. Decision Trees. Index Numbers. Sampling Designs. Time Series. Simultaneous Equations. Appendices. Tables. References. Answers to Odd-Numbered Problems. Glossary of Common Symbols. Index.

Thoroughly revised, this volume teaches via good organization, clarity of presentation, review and problems. The integrative presentation of topics encourages an intuitive understanding of each statistical technique and analytical objective before moving on to formulae, examples and problem sets. Crucial issues of statistical analysis are introduced early on, and are re-emphasized throughout. With a large number of topics and statistical tactics arranged and presented, the book gives a spectrum of traditional and contemporary techniques of applied statistical analysis. Also included are 700 exercises which support the text objective to teach applications for statistical techniques.