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.

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 (ANOVA)

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

Appendices
Tables
References
Answers to Odd-Numbered Problems
Glossary of Common Symbols
Index of Examples and Problems
Index