Business Statistics: A Decision Making Approach, Student Value Edition by David F. GroebnerBusiness Statistics: A Decision Making Approach, Student Value Edition by David F. Groebner

Business Statistics: A Decision Making Approach, Student Value Edition

byDavid F. Groebner, Patrick W. Shannon, Phillip C. Fry

Loose Leaf | May 1, 2017

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NOTE: This edition features the same content as the traditional text in a convenient, three-hole-punched, loose-leaf version. Student Value Editions also offer a great value; this format costs significantly less than a new textbook. Before purchasing, check with your instructor or review your course syllabus to ensure that you select the correct ISBN. For Student Value editions that include MyLab™ or Mastering™, several versions may exist for each title – including customized versions for individual schools – and registrations are not transferable. In addition, you may need a Course ID, provided by your instructor, to register for and use MyLab or Mastering products.

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:

0134577361 / 9780134577364   Business Statistics, Student Value Edition Plus MyLab Statistics with Pearson eText -- Access Card Package, 10/e

Package consists of:

  • 0134506413 / 9780134506418 Business Statistics: A Decision Making Approach, Student Value Edition
  • 0321931084 / 9780321931085 MyLab Statistics for Business Statistics - Valuepack Access Card
Title:Business Statistics: A Decision Making Approach, Student Value EditionFormat:Loose LeafDimensions:864 pages, 10.9 × 8.4 × 1.2 inPublished:May 1, 2017Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0134506413

ISBN - 13:9780134506418

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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