Business Statistics 3rd Edition by Sharpe, Veaux & Velleman (Global Edition)

Description

This book narrows the gap between theory and practice-relevant statistical methods empower business students to make effective, data-informed 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 statistics in the context of real business issues, with an emphasis on analysis and understanding over computation, the text helps students be analytical, prepares them to make better business decisions, and shows them how to effectively communicate results.

Contents

  • Pt. I. Exploring and collecting data
  • ch. 1. Data and decisions (E-Commerce)
  • ch. 2. Displaying and describing categorical data (KEEN, Inc.)
  • ch. 3. Displaying and describing quantitative data (AIG)
  • ch. 4. Correlation and linear regression (Amazon.com)
  • Pt. II. Modeling with probability
  • ch. 5. Randomness and probability (Credit reports and the Fair Isaacs Corporation)
  • ch. 6. Random variables and probability models (Metropolitan Life Insurance Company)
  • ch. 7. The normal and other continuous distributions (The NYSE)
  • ch. 8. Surveys and sampling (Roper Polls)
  • ch. 9. Sampling distributions and confidence intervals for proportions (Marketing credit cards: the MBNA story)
  • Pt. III. Inference for decision making
  • ch. 10. Testing hypotheses about proportions (Dow Jones Industrial Average)
  • ch. 11. Confidence intervals and hypothesis tests for means (Guinness &​ Co.)
  • ch. 12. More about tests and intervals (Traveler's Insurance)
  • ch. 13. Comparing two means (Visa Global Organization)
  • ch. 14. Inference for counts : chi-square tests (SAC Capital)
  • Pt. IV. Models for decision making
  • ch. 15. Inference for regression (Nambé Mills)
  • ch. 16. Understanding residuals (Kellogg's)

 

  • ch. 17. Multiple regression (Zillow.com)
  • ch. 18. Building multiple regression models (Bolliger and Mabillard)
  • ch. 19. Time series analysis (Whole Foods Market®)
  • Pt. V. Selected topics in decision making
  • ch. 20. Design and analysis of experiments and observational studies (Capital One)
  • ch. 21. Quality control (Sony)
  • ch.22. Nonparametric methods (i4cp)
  • ch. 23. Decision making and risk (Data Description, Inc.)
  • ch. 24. Introduction to data mining (Paralyzed Veterans of America).

 

  • PAGES: 977
  • SIZE: 107 MB
  • FORMAT: PDF
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