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Business Statistics: A Decision-Making Approach, 10th edition

Published by Pearson (January 1, 2021) © 2018

  • David F. Groebner Boise State University
  • Patrick W. Shannon Boise State University
  • Phillip C. Fry Boise State University
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Gain an edge in today’s workplace by applying statistical analysis skills to real-world decision-making.

Business Statistics: A Decision Making Approach provides students with an introduction to business statistics and to the analysis skills and techniques needed to make successful real-world business decisions. Written for students of all mathematical skill levels, the authors present concepts in a systematic and ordered way, drawing from their own experience as educators and consultants. Rooted in the theme that data are the starting point, Business Statistics champions the need to use and understand different types of data and data sources to be effective decision makers. This new edition integrates Microsoft Excel throughout as a way to work with statistical concepts and give students a resource that can be used in both their academic and professional careers.


Also available with MyLab Statistics.

MyLabâ„¢ Statistics is an online homework, tutorial, and assessment program designed to work with this text to engage students and improve results. Within its structured environment, students practice what they learn, test their understanding, and pursue a personalized study plan that helps them absorb course material and understand difficult concepts.

Brief Contents

  1. The Where, Why, and How of Data Collection
  2. Graphs, Charts, and Tables–Describing Your Data
  3. Describing Data Using Numerical Measures
    1. Chapters 1-3 Special Review Section
  4. Introduction to Probability
  5. Discrete Probability Distributions
  6. Introduction to Continuous Probability Distributions
  7. Introduction to Sampling Distributions
  8. Estimating Single Population Parameters
  9. Introduction to Hypothesis Testing
  10. Estimation and Hypothesis Testing for Two Population Parameters
  11. Hypothesis Tests and Estimation for Population Variances
  12. Analysis of Variance
    1. Chapters 8-12 Special Review Section
  13. Goodness-of-Fit Tests and Contingency Analysis
  14. Introduction to Linear Regression and Correlation Analysis
  15. Multiple Regression Analysis and Model Building
  16. Analyzing and Forecasting Time-Series Data
  17. Introduction to Nonparametric Statistics
  18. Introducing Business Analytics
  19. (Online Only) Introduction to Decision Analysis
  20. (Online Only) Introduction to Quality and Statistical Process Control

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