Business Statistics, 4th edition

Published by Pearson (May 24, 2023) © 2023

  • Norean R. Sharpe Georgetown University
  • Richard D. De Veaux Williams College
  • Paul F. Velleman Cornell University (Emetrius)

Paperback + Student Resources

$69.32

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ISBN-13: 9780134705484
Student Solutions Manual for Business Statistics
Published 2019

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Title overview

Business Statistics covers statistical methods you can use to make data-driven decisions. Focusing on stats in the context of real business issues, with an emphasis on analysis over computation, the authors will prepare you to make better business decisions and effectively report results.

The 4th Edition has been updated to better reflect the changing world and to present real-life business challenges. Examples, exercises and applications use real and recent data to tie the concepts to the way statistics is used to make better business decisions. And an emphasis on better statistical thinking guides you on how to apply statistics correctly.

Table of contents

Brief Contents

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

  1. Randomness and Probability (Credit Reports, the Fair Isaacs Corporation, and Equifax)
  2. Random Variables and Probability Models (Metropolitan Life Insurance Company)
  3. The Normal and Other Continuous Distributions (The NYSE)

PART III: GATHERING DATA

  1. Data Sources: Observational Studies and Surveys (Roper Polls)
  2. Data Sources: Experiments (Capital One)

PART IV: INFERENCE FOR DECISION MAKING

  1. Sampling Distributions and Confidence Intervals for Proportions (Marketing Credit Cards: The MBNA Story)
  2. Confidence Intervals for Means (Guinness & Co.)
  3. Testing Hypotheses (Casting Ingots)
  4. More About Tests and Intervals (Traveler’s Insurance)
  5. Comparing Two Means (Visa Global Organization)
  6. Inference for Counts: Chi-Square Tests (SAC Capital)

PART V: MODELS FOR DECISION MAKING

  1. Inference for Regression (Nambé Mills)
  2. Understanding Residuals (Kellogg’s)
  3. Multiple Regression (Zillow.com)
  4. Building Multiple Regression Models (Bolliger and Mabillard)
  5. Time Series Analysis (Whole Foods Market®)

PART VI: ANALYTICS

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

PART VII: ONLINE TOPICS

  1. Quality Control (Sony)
  2. Nonparametric Methods (i4cp)
  3. Decision Making and Risk (Data Description, Inc.)
  4. Analysis of Experiments and Observational Studies

Appendix A. Answers

Appendix B. Tables and Selected Formulas

Appendix C. Credits

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