Introductory Statistics For Business And Economics Fourth Edition
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More About This Title Introductory Statistics For Business And Economics Fourth Edition
English
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.
English
Thomas H. Wonnacott is the author of Introductory Statistics for Business and Economics, 4th 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.
English
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.
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.
