Statistics for Business and Economics

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Author: James T. McClave

ISBN-10: 032164011X

ISBN-13: 9780321640116

Category: Economic Reference

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Classic, yet contemporary. Theoretical, yet applied. Statistics for Business and Economics, Eleventh Edition, gives you the best of both worlds. Using a rich array of applications from a variety of industries, McClave/Sincich/Benson clearly demonstrates how to use statistics effectively in a business environment.The book focuses on developing statistical thinking so the reader can better assess the credibility and value of inferences made from data. As consumers and future producers of statistical inferences, readers are introduced to a wide variety of data collection and analysis techniques to help them evaluate data and make informed business decisions. As with previous editions, this revision offers an abundance of applications with many new and updated exercises that draw on real business situations and recent economic events. The authors assume a background of basic algebra. Booknews A new edition of an advanced undergraduate level text intended for students with a non-calculus background. Presents statistical theory and principles in the context of real business situations to encourage practical problem-solving. Also covers some of the technological tools available, including EXCEL, SPSS, SAS, or Minitab. MacIntosh or Windows data disk includes learning objectives, thinking challenges, concept presentation slides, and worked examples. Annotation c. by Book News, Inc., Portland, Or.

PrefaceCh. 1Statistics, Data, and Statistical Thinking1Ch. 2Methods for Describing Sets of Data25Ch. 3Probability111Ch. 4Discrete Random Variables161Ch. 5Continuous Random Variables201Ch. 6Sampling Distributions239Ch. 7Inferences Based on a Single Sample: Estimation with Confidence Intervals269Ch. 8Inferences Based on a Single Sample: Tests of Hypothesis317Ch. 9Inferences Based on Two Samples: Confidence Intervals and Tests of Hypotheses367Ch. 10Simple Linear Regression429Ch. 11Multiple Regression499Ch. 12Model Building577Ch. 13Methods for Quality Improvement661Ch. 14Time Series: Descriptive Analyses, Models, and Forecasting733Ch. 15Design of Experiments and Analysis of Variance799Ch. 16Nonparametric Statistics867Ch. 17The Chi-Square Test and the Analysis of Contingency Tables913Ch. 18Decision Analysis947App. ABasic Counting Rules999App. B: Tables1003App. CCalculation Formulas for Analysis of Variance1036Answers to Selected Exercises1038References1051Index1057