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Business Statistics In Practice (w/cd) 3e(pb)2003 by Bowerman
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BUSINESS STATISTICS IN PRACTICE 5e(pb)2010
Author: BRUCE L. BOWERMAN
ISBN: 9780071068116
Year: 2010
Publisher: MCGRAW-HILL EDU (INDIA) PVT LTD.
Category: STATISTICS
Edition: 5
Format: Paperback
Language: English
Pages: 936
 ABOUT THE TITLE
The new edition of Business Statistics in Practice provides a modern, practical, and unique framework for teaching the first course in business statistics. This framework features case study and example- driven discussions of all basic business statistics topics. In addition, the authors have rewritten many of the discussions in this edition and have explained concepts more simply from first principles. The only prerequisite for this text is high school algebra.

Key features

A shorter and simpler introduction to business processes and an expanded treatment of data acquisition and sampling (in Chapter 1). In order to make Chapter 1 easier to cover, the fifth edition has a shortened and simplified introduction to business processes. This introduction is now part of a discussion of sampling in Section 1.2. In addition, Chapter 1 contains a new, optional section (Section 1.5) that discusses more advanced aspects of data acquisition and survey sampling.

Two shorter chapters on descriptive statistics with simplified and clarified explanations. Chapter 2, discusses the graphical and tabular methods of descriptive statistics. Chapter 3, discusses the numerical methods of descriptive statistics, with new material on covariance, correlation, and the least squares line. Both chapters utilize a substantial number of new examples, exercises, cases, and data sets, including The Jeep Case and The Household Income Case.

Use of the cumulative normal table in the discussion of the normal distribution in Chapter 6 and throughout the rest of the book. Because use of the cumulative normal table makes many normal curve calculations easier and is consistent with the way that most statistical software systems give normal curve probabilities, the fifth edition uses this table for all normal curve applications

A clearer and more motivating discussion of sampling distributions in Chapter 7. Chapter 7 begins with a new case: The Risk Reduction Case: Game Shows and Stock Returns. This case motivates students to think about the properties of sampling distributions in a ?fun? and familiar context.

A clearer and more motivating introduction to confidence intervals in Chapter 8. Chapter 8 begins with an intuitive example that illustrates a practical application of a confidence interval for a population mean. Then, using this example as a springboard, Chapter 8 develops the logic behind and a formula for a confidence interval for a population mean (as well as other confidence interval formulas). One new real world case exercise in Chapter 8 is The Air Traffic Control Case.

A simpler and streamlined discussion of hypothesis testing in Chapter 9. As in the fourth edition, this basic hypothesis testing chapter uses a seven-step procedure that breaks hypothesis testing down into small, easy to understand steps and clearly shows how to use the book?s hypothesis testing summary boxes. In addition, the material on hypothesis tests for a population mean has been simplified and streamlined for the fifth edition. A motivating new case ? The Valentine?s Day Chocolate Case - is used throughout the discussion of hypothesis testing.

Author: Bruce Bowerman, Richard O'Connell

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 TABLE OF CONTENTS
1. An Introduction to Business Statistics
2. Descriptive Statistics: Tabular and Graphical Methods
3. Descriptive Statistics: Numerical Methods
4. Probability
5. Discrete Random Variables
6. Continuous Random Variables
7. Sampling Distributions
8. Confidence Intervals
9. Hypothesis Testing
10. Statistical Inferences Based on Two Samples
11. Experimental Design and Analysis of Variance
12. Chi-Square Tests
13. Simple Linear Regression Analysis
14. Multiple Regression
15. Model Buildling and Model Diagnostics
16. Time Series Forecasting
17. Process Improvement Using Control Charts
18. Nonparametric Methods
19. Decision Theory
Appendix A: Statistical Tables
Appendix B: Counting Rules
Appendix C: Hypergeometric Distribution
Appendix D: Properties of the Mean and the Varijance of a Random Variable, and the Covariance
Appendix E: Derivations of the Mean and Variance of x(bar) and p(hat).
On CD-ROM:
Appendix F (Part I): Stratified Random Sampling
Appendix F (Part II): Cluster Sampling and Ratios Estimation
Apprendix G: Using Matrix Algebra to Perform Regression Calculations
Appendix H: The Regression Approach to Two-Way Anallysis of Variance
Appendix I: Factor Analysis, Cluster Analysis, and Multidimensional Scaling
Appendix J: The Box-Jenkins Methodology
Appendix K: Holt-Winters? Models
Appendix L: Individual Charts and c Charts
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