Business Statistics A First Course 2nd Edition Sharpe Test Bank

Business Statistics A First Course 2nd Edition Sharpe Test Bank

Product details:

• ISBN-10 ‏ : ‎ 0321838696
• ISBN-13 ‏ : ‎ 978-0321838698
• Author: Norean Radke Sharpe

In Business Statistics: A First Course, the authors leverage their unique blend of teaching, consulting, and entrepreneurial experiences to bring a modern business edge and dynamic approach to teaching statistics to business students. Focusing on statistics in the context of real business issues, the text emphasizes analysis and understanding over computation. This approach helps students be analytical, preparing them to make better business decisions and effectively communicate results. The authors have an accessible and compelling writing style and use short, targeted chapters to build understanding of new topics. They integrate current business applications to capture students’ attention and teach statistical concepts needed in the modern business world.

Table contents:

• 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)

• 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)

• 8. Data Sources: Observational Studies and Surveys (Roper Polls)
• 9. Data Sources: Experiments (Capital One)

• 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)

• 16. Inference for Regression (Nambé 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^®)

• 21. Introduction to Big Data and Data Mining (Paralyzed Veterans of America)

• 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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