9780134496498

Business Statistics A Decision-Making Approach

by ; ;
  • ISBN13:

    9780134496498

  • ISBN10:

    0134496493

  • Edition: 10th
  • Format: Hardcover
  • Copyright: 1/5/2017
  • Publisher: Pearson

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Supplemental Materials

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Summary

For 2-Semester Introductory Business Statistics Courses.


Gain an edge in today’s workplace by applying statistical analysis skills to real-world decision-making.

Business Statistics: A Decision Making Approach provides you 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 gives you a resource that can be used in both their academic and professional careers. 


Also available with MyLab Statistics.

MyLab™ 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.


Note: You are purchasing a standalone product; MyLab Statistics does not come packaged with this content. Students, if interested in purchasing this title with MyLab Statistics, ask your instructor to confirm the correct package ISBN and Course ID. Instructors, contact your Pearson representative for more information.


If you would like to purchase both the physical text and MyLab Statistics, search for:


0134508688 / 9780134508689   Business Statistics Plus MyLab Statistics with Pearson eText -- Access Card Package, 10/e

Package consists of:

  • 0134496493 / 9780134496498 Business Statistics

  • 032192147X / 9780321921475 MyLab Statistics for Business Statistics -- Glue-In Access Card

  • 0321929713 / 9780321929716 MyLab Statistics for Business Statistics Sticker

Author Biography

David F. Groebner is Professor Emeritus of Production Management in the College of Business and Economics at Boise State University. He has bachelor’s and master’s degrees in engineering and a Ph.D. in business administration. After working as an engineer, he has taught statistics and related subjects for 27 years. In addition to writing textbooks and academic papers, Groebner has worked extensively with both small and large organizations, including Hewlett-Packard, Boise Cascade, Albertson’s, and Ore-Ida. He has worked with numerous government agencies, including Boise City and the U.S. Air Force.


Patrick W. Shannon, Ph.D. is Dean and Professor of Supply Chain Operations Management in the College of Business and Economics at Boise State University. In addition to his administrative responsibilities, he has taught graduate and undergraduate courses in business statistics, quality management, and production and operations management. In addition, Dr. Shannon has lectured and consulted in the statistical analysis and quality management areas for more than 20 years. Among his consulting clients are Boise Cascade Corporation, Hewlett-Packard, PowerBar, Inc., Potlatch Corporation, Woodgrain Millwork, Inc., J.R. Simplot Company, Zilog Corporation, and numerous other public- and private-sector organizations. Shannon has co-authored several university-level textbooks and has published numerous articles in such journals as Business Horizons, Interfaces, Journal of Simulation, Journal of Production and Inventory Control, Quality Progress, and Journal of Marketing Research. He obtained B.S. and M.S. degrees from the University of Montana and a Ph.D. in statistics and quantitative methods from the University of Oregon.


Phillip C. Fry is a professor in the College of Business and Economics at Boise State University, where he has taught since 1988. Phil received his B.A. and M.B.A. degrees from the University of Arkansas and his M.S. and Ph.D. degrees from Louisiana State University. His teaching and research interests are in the areas of business statistics, supply chain management, and quantitative business modeling. In addition to his academic responsibilities, Fry has consulted with and provided training to small and large organizations, including Boise Cascade Corporation, Hewlett-Packard Corporation, the J.R. Simplot Company, United Water of Idaho, Woodgrain Millwork, Inc., Boise City, and Intermountain Gas Company.

Table of 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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