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STATISTICS FOR MANAGEMENT AND ECONOMICS, 8e, emphasizes applications over calculation. It illustrates how vital statistical methods and tools are for today's managers—and teaches you how to apply them to real business problems. Using a proven three-step "ICI" approach to problem solving, the text teaches you how to IDENTIFY the correct statistical technique by focusing on the problem objective and data type; how to COMPUTE the statistics doing them by hand, using Excel, or using MINITAB™; and how to INTERPRET results in the context of the problem. This unique approach enhances your comprehension and practical skills. The text's vast assortment of data-driven examples, exercises, and cases covers the various functional areas of business, demonstrating the statistical applications that marketing managers, financial analysts, accountants, economists, and others use. These comprehensive applications give you hands-on practice, while solid pedagogical elements make the material more accessible and easy to apply to your world. In addition, learning resources such as CengageNOW and the Student Suite CD-ROM maximize study time to help you achieve the results you want. Completely up-to-date, the eighth edition offers comprehensive coverage, current examples, and Excel 2007 and MINITAB 15™ content.
1. What Is Statistics? PART 1: DESCRIPTIVE TECHNIQUES. 2. Graphical and Tabular Descriptive Techniques. 3. Art and Science of Graphical Presentations. 4. Numerical Descriptive Techniques. 5. Data Collection and Sampling. PART 2: PROBABILITY. 6. Probability. 7. Random Variables and Discrete Probability Distributions. 8. Continuous Probability Distributions. 9. Sampling Distributions. PART 3: INTRODUCTION TO STATISTICAL INFERENCE. 10. Introduction to Estimation. 11. Introduction to Hypothesis Testing. PART 4: STATISTICAL INFERENCE: ONE AND TWO POPULATIONS. 12. Inference about a Population. 13. Inference about Comparing Two Populations. PART 5: STATISTICAL INFERENCE: ANALYSIS OF VARIANCE AND CHI-SQUARED TESTS. 14. Analysis of Variance. 15. Chi-Squared Tests. PART 6: REGRESSION. 16. Simple Linear Regression and Correlation. 17. Multiple Regression. 18. Model Building. PART 7: ADDITIONAL TOPICS. 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.