Skip to main content

Introductory Statistics, 5th Edition

Hardcover

$210.95

Introductory Statistics, 5th Edition

Thomas H. Wonnacott, Ronald J. Wonnacott

ISBN: 978-0-471-61518-7 January 1990 736 Pages

Download Product Flyer

Download Product Flyer

Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description. Download Product Flyer is to download PDF in new tab. This is a dummy description.

Description

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.

Buy Set of 2 Items

This item: Introductory Statistics, 5th Edition

Original Price:$298.90

Purchased Together:$262.95

save $35.95

Buy Set of 1 Items

This item: Introductory Statistics, 5th Edition

Purchased Together:$307.95

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.