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Business Statistics, 4th edition

  • Norean R. Sharpe, 
  • Richard D. De Veaux, 
  • Paul F. Velleman

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Overview

Hallmark features of this title

  • Emphasis on better statistical thinking trains students to apply statistics correctly.
    • Focus on checking assumptions and conditions when using statistical procedures is emphasized throughout.
    • Ethics in Action illustrate the judgment needed in statistical analysis. Questions are included for study and reflection.
    • What Can Go Wrong? equips students with the tools to detect common statistical errors and offers practice in debunking misuses of statistics.
  • Emphasis on graphing and exploring data helps students uncover structures, patterns, and anomalies. This helps them to raise new questions, perform statistical analysis, and make the best business decision.
  • A flexible syllabus allows instructors to select and sequence chapters to suit their needs.

Published by Pearson (May 24th 2023) - Copyright © 2023

ISBN-13: 9780137897629

Subject: Advanced Statistics

Category: Introduction to Business Statistics

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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