Business statistics
著者
書誌事項
Business statistics
Pearson, c2019
4th ed
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注記
Includes indexes
内容説明・目次
内容説明
For two-semester business statistics courses.
Relevant statistical methods that empower individuals to make effective, data-informed business decisions
Business Statistics, 4th Edition, by Sharpe, De Veaux, and Velleman, narrows the gap between theory and practice, by covering relevant and real-life statistical methods that help business students make good, data-driven decisions. With their unique blend of teaching, consulting, and entrepreneurial experiences, this dynamic author team brings a modern edge to teaching statistics to business students. Focusing on stats in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students to be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.
Also available with MyLab Business Statistics
MyLab (TM) is the teaching and learning platform that empowers you to reach every student. By combining trusted author content with digital tools and a flexible platform, MyLab personalizes the learning experience and improves results for each student.
Note: You are purchasing a standalone product; MyLab Business Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Business Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.
If you would like to purchase both the physical text and MyLab Business Statistics, search for:
0134684877 / 9780134684871 Business Statistics Plus MyLab Statistics with Pearson eText -- Access Card Package, 4/e
Package consists of:
0134705211 / 9780134705217 Business Statistics
0134783034 / 9780134783031 MyLab Statistics with Pearson eText -- Standalone Access Card -- for Business Statistics
目次
PART I: EXPLORING AND COLLECTING DATA
1. Data and Decisions (H&M)
2. Visualizing and Describing Categorical Data (Dalia Research)
3. Describing, Displaying, and Visualizing Quantitative Data (AIG)
4. Correlation and Linear Regression (Zillow.com)
PART II: MODELING AND PROBABILITY
5. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)
6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
7. The Normal and Other Continuous Distributions (The NYSE)
PART III: GATHERING DATA
8. Data Sources: Observational Studies and Surveys (Roper Polls)
9. Data Sources: Experiments (Capital One)
PART IV: INFERENCE FOR DECISION MAKING
10. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
11. Confidence Intervals for Means (Guinness & Co.)
12. Testing Hypotheses (Casting Ingots)
13. More About Tests and Intervals (Traveler's Insurance)
14. Comparing Two Means (Visa Global Organization)
15. Inference for Counts: Chi-Square Tests (SAC Capital)
PART V: MODELS FOR DECISION MAKING
16. Inference for Regression (Nambe Mills)
17. Understanding Residuals (Kellogg's)
18. Multiple Regression (Zillow.com)
19. Building Multiple Regression Models (Bolliger and Mabillard)
20. Time Series Analysis (Whole Foods Market (R))
PART VI: ANALYTICS
21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)
PART VII: ONLINE TOPICS
22. Quality Control (Sony)
23. Nonparametric Methods (i4cp)
24. Decision Making and Risk (Data Description, Inc.)
25. Analysis of Experiments and Observational Studies
Appendix A. Answers Appendix B. Tables and Selected Formulas Appendix C. Credits
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