Introductory statistics for business and economics

This Fourth Edition includes new sections on graphs, robust estimation, expected value and the bootstrap, in addition to new material on the use of computers. The regression model is well covered, including both nonlinear and multiple regression. The chapters contain many real-life examples and are relatively self-contained, making adaptable to a variety of courses.

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

Mevcut:*

Bound With These Titles

On Order

Özet

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Table of Contents