Business Statistics, Global Edition, 3rd edition

Published by Pearson (5 March 2015) © 2016

  • Norean R. Sharpe Georgetown University
  • Richard D. De Veaux Williams College
  • Paul Velleman

Title overview

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For courses in Business Statistics

Business Statistics, 3rd Edition, by Sharpe, De Veaux, and Velleman, 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.

This program provides a better teaching and learning experience—for you and your students. Here’s how:

  • Grounded in modern business, this text provides a real-world context for statistical concepts, preparing students to be successful in the business world.
  • Practice and support: Study tools throughout the text prepare students to analyse and interpret data.
  • Integrated technology: Optional coverage helps students use real statistics software
  • NEW! Improved organisation and a streamlined design make the text more accessible than ever.

Table of contents

  • 1. Data and Decisions (E-Commerce)
  • 2. Displaying and Describing Categorical Data (Keen, Inc.)
  • 3. Displaying and Describing Quantitative Data (AIG)
  • 4. Correlation and Linear Regression (Amazon.com)
  • 5. Randomness and Probability (Credit Reports and the Fair Isaacs Corporation)
  • 6. Random Variables and Probability Models (Metropolitan Life Insurance Company)
  • 7. The Normal and other Continuous Distributions (The NYSE)
  • 8. Surveys and Sampling (Roper Polls)
  • 9. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
  • 10. Testing Hypotheses about Proportions (Dow Jones Industrial Average)
  • 11. Confidence Intervals and Hypothesis Tests for Means (Guinness & Co.)
  • 12. More About Tests and Intervals (Traveler’s Insurance)
  • 13. Comparing Two Means (Visa Global Organization)
  • 14. Inference for Counts: Chi-Square Tests (SAC Capital)
  • 15. Inference for Regression (Nambé Mills)
  • 16. Understanding Residuals (Kellogg’s)
  • 17. Multiple Regression (Zillow.com)
  • 18. Building Multiple Regression Models (Bolliger and Mabillard)
  • 19. Time Series Analysis (Whole Food Market)
  • 20. Design and Analysis of Experiments and Observational Studies (Capital One)
  • 21. Quality Control (Sony)
  • 22. Nonparametric Methods (i4cp)
  • 23. Decision Making and Risk (Data Description, Inc.)
  • 24. Introduction to Data Mining (Paralyzed Veterans of America)
  • Appendices

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