Introductory Statistics / Edition 5

by Thomas H. Wonnacott, Ronald J. Wonnacott

Overview

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.

Product Details

ISBN-13:	9780471615187
Publisher:	Wiley
Publication date:	01/16/1991
Series:	Probability and Statistics Series
Edition description:	REV
Pages:	736
Product dimensions:	7.60(w) x 9.40(h) x 1.20(d)
Age Range:	17 Years

About the Author

Thomas H. Wonnacott is the author of Introductory Statistics, 5th Edition, published by Wiley.

Ronald Johnston Wonnacott OC FRSC was a Canadian economist. Wonnacott received his bachelor's and master's degrees from the University of Western Ontario, then earned a doctorate from Harvard University. He taught at Western from 1958 to 1996, and served as William G. Davis Professor of International Trade.

Table of Contents

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.