- This particular item is stocked in a Partner Warehouse and will ship separately from other items in your shopping cart.
Synopses & Reviews
Please note that used books may not include additional media (study guides, CDs, DVDs, solutions manuals, etc.) as described in the publisher comments.
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.
Synopsis:
Designed for students of business, management and economics, this text encourages an understanding of each statistical technique and analytical objective before moving on to formulae, examples and problems. It includes 700 exercises which help to teach applications for statistical techniques.
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.
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.
Don't Miss
