Student Workbook To Accompany Introductory Statistics For Business And Economics Fourth Edition AndIntroductory Statistics Fifth Edition
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More About This Title Student Workbook To Accompany Introductory Statistics For Business And Economics Fourth Edition AndIntroductory Statistics Fifth Edition

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Essential statistics practice problems with fully-worked solutions

Student Workbook to Accompany Introductory Statistics for Business and Economics offers students an invaluable resource for clarifying complex statistical concepts and calculations. Fully-worked answers to all odd-numbered problems in the textbook provide clear explanations of the approach and methods used, while chapter-by-chapter review questions provide additional practice as needed. This new fourth edition aligns with the fourth edition of the text, with new material on graphs, robust estimation, expected value, and more. Real-world examples provide immediate context, and the workbook's self-contained nature makes it adaptable to a variety of courses.

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Thomas H. Wonnacott is the author of Student Workbook to accompany Introductory Statistics for Business and Economics 4e and Introductory Statistics 5e, 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.

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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.
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