An updated and revised edition of the popular introduction to statistics for students of economics or business, suitable for a one- or two-semester course. Presents an approach that is generally available only in much more advanced texts, yet uses the simplest mathematics consistent with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real-life problems drawn from the literature) to support the theoretical discussion. Emphasizes the regression model, including nonlinear and multiple regression. Topics covered include randomization to eliminate bias, exploratory data analysis, graphs, expected value in bidding, the bootstrap, path analysis, robust estimation, maximum likelihood estimation and Bayesian estimation and decisions.
Table of contents
BASIC PROBABILITY AND STATISTICS.
The Nature of Statistics.
Two Random Variables.
INFERENCE FOR MEANS AND PROPORTIONS.
Analysis of Variance (ANOVA).
REGRESSION: RELATING TWO OR MORE VARIABLES.
Fitting a Line.
TOPICS IN CLASSICAL AND BAYESIAN INFERENCE.
Nonparametric and Robust Statistics.
Maximum Likelihood Estimation.
Bayesian Decision Theory.
Answers to Odd-Numbered Problems.
Glossary of Common Symbols.
Index of Examples and Problems.