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Statistics for management and economics / Gerald Keller.

By: Keller, Gerald.
Publisher: Stamford, CT, USA : Cengage Learning, ©2014Edition: 10th edition.Description: xxiii, 909 pages : color illustrations ; 27 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781285425450.Subject(s): Management -- Statistical methods | Economics -- Statistical methodsDDC classification: 658.0727/K28 Other classification: CAS
Contents:
1. What is Statistics? 2. Graphical Descriptive Techniques I. 3. Graphical Descriptive Techniques II. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. 12. Inference about a Population. 13. Inference about Comparing Two Populations. 14. Analysis of Variance. 15. Chi-Squared Tests. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. 19. Nonparametric Statistics. 20. Time-Series Analysis and Forecasting. 21. Statistical Process Control. 22. Decision Analysis. 23. Conclusion. Appendix A. Data File Sample Statistics. Appendix B. Tables. Appendix C. Answers to Selected Even-Numbered Exercises. Index.
Summary: Illustrates how vital statistical methods and tools are for managers - and teaches you how to apply them to real business problems. Using a proven three-step "ICI" approach to problem solving, this text teaches you how to identify the correct statistical technique by focusing on the problem objective and data type.
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Previously published: Mason, OH : South-Western Cengage Learning, c2012.

Includes index.

1. What is Statistics? 2. Graphical Descriptive Techniques I. 3. Graphical Descriptive Techniques II. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. 12. Inference about a Population. 13. Inference about Comparing Two Populations. 14. Analysis of Variance. 15. Chi-Squared Tests. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. 19. Nonparametric Statistics. 20. Time-Series Analysis and Forecasting. 21. Statistical Process Control. 22. Decision Analysis. 23. Conclusion. Appendix A. Data File Sample Statistics. Appendix B. Tables. Appendix C. Answers to Selected Even-Numbered Exercises. Index.

Illustrates how vital statistical methods and tools are for managers - and teaches you how to apply them to real business problems. Using a proven three-step "ICI" approach to problem solving, this text teaches you how to identify the correct statistical technique by focusing on the problem objective and data type.

College of Arts and Sciences

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