Gathering and interpreting statistics to diagnose problems and evaluate results in the business environment is an important skill that is more easily learned in the context of real applications, cases, and projects. This thorough introduction to business statistics introduces every topic with real examples and data sets from today's business world, and features menu-driven, user-friendly ASP statistical software that performs all necessary statistical computations, allowing readers to concentrate on interpretations. An abundance of practice exercises focuses on both mechanics applications. Comprehensive coverage surveys the full range of statistical topics and provides a thorough exploration of statistical computing -- with computer printouts for SAS, MINITAB, and SPSS, integrated throughout, and optional computer applications for each chapter -- with SAS, MINITAB, and SPSS commands. Real data sets include appraisals and sale prices for residential property sales; Business Week's executive compensation scoreboard, 1994; characteristics of HMO physicians in a managed-care system; Federal Trade Commission rankings of 372 cigarette brands. In addition to the new accompanying software, the Fifth Edition provides updated case studies, examples, and exercises based on studies reported in recent magazine, journal and news articles. For business personnel who want a comprehensive, applied introduction to business statistics.
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The American Statistical Association has found that students are most effectively motivated to learn statistics when they see statistics at work in real applications, cases, and projects. In keeping with this finding, Business Statistics by Example, Fifth Edition introduces every topic by means of real examples from today's business world. The text includes many updated case studies and exercises.
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Book Description Pearson, 1995. Paperback. Book Condition: New. book. Bookseller Inventory # 0024104418
Book Description Pearson, 1995. Book Condition: New. Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Preface. 1. Introduction: Statistics and Data. 2. Graphical Methods for Describing Data Sets. 3. Numerical Methods for Describing Quantitative Data Sets. 4. Probability: Basic Concepts. 5. Discrete Probability Distributions. 6. Continuous Probability Distributions. 7. Sampling and Sampling Distributions. 8. Estimation of Population Parameters: Confidence Intervals. 9. Introduction to Sample Survey Methods (Optional). 10. Collecting Evidence to Support a Theory: General Concepts of Hypothesis Testing. 11. Hypothesis Testing: Applications. 12. Simple Linear Regression and Correlation. 13. Multiple Regression and Model Building. 14. Analysis of Variance. 15. Introduction to Process and Quality Control. 16. Time Series Analysis and Forecasting. 17. Categorical Data Analysis. 18. Nonparametric Statistics. 19. Elements of Decision Analysis. Appendix A: Data Sets. Appendix B: Statistical Tables. Appendix C: SAS Tutorial. Appendix D: SPSS Tutorial. Appendix E: MINITAB Tutorial. Appendix F: ASP Tutorial. Answers to Odd-Numbered Exercises. Index. Bookseller Inventory # ABE_book_new_0024104418
Book Description Pearson, 1995. Paperback. Book Condition: New. Bookseller Inventory # P110024104418
Book Description Hardcover. Book Condition: New. 100% BRAND NEW US Edition / Mint condition / Never been read / HARDCOVER / Student 5th Edition / ISBN: 0024104418. Shipped out in one business day with free tracking. book. Bookseller Inventory # 338