Statistics For Business: Decision Making And Analysis, Student Value Edition by Robert StineStatistics For Business: Decision Making And Analysis, Student Value Edition by Robert Stine

Statistics For Business: Decision Making And Analysis, Student Value Edition

byRobert Stine, Dean Foster

Loose Leaf | January 5, 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 one- and two-semester courses in introductory business statistics.

 

Understand Business. Understand Data.

The 3rd Edition of Statistics for Business: Decision Making and Analysis emphasizes an application-based approach, in which readers learn how to work with data to make decisions. In this contemporary presentation of business statistics, readers learn how to approach business decisions through a 4M Analytics decision making strategy—motivation, method, mechanics and message—to better understand how a business context motivates the statistical process and how the results inform a course of action. Each chapter includes hints on using Excel, Minitab Express, and JMP for calculations, pointing the reader in the right direction to get started with analysis of data.


Also available with MyLab Statistics

MyLab™ Statistics from Pearson is the world’s leading online resource for teaching and learning statistics; it integrates interactive homework, assessment, and media in a flexible, easy-to-use format. MyLab Statistics is a course management system that helps individual students succeed. It provides engaging experiences that personalize, stimulate, and measure learning for each student. Tools are embedded to make it easy to integrate statistical software into the course.


Note: You are purchasing a standalone product; MyLabdoes not come packaged with this content. Students, if interested in purchasing this title with MyLab, ask your instructor for 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, search for:


0134508653 / 9780134508658   Statistics for Business: Decision Making and Analysis, Student Value Edition Plus MyLab Statistics with Pearson eText

      

Package consists of:

  • 0134497260 / 9780134497266 Statistics for Business: Decision Making and Analysis, Student Value Edition
  • 0321931084 / 9780321931085 MyLab Statistics for Business Statistics -- Valuepack Access Card
R. L. Stine was born in Columbus Ohio on October 8, 1943. He graduated from Ohio State University in 1965. Under the name Jovial Bob Stine, he wrote dozens of joke books and humor books for kids including How to Be Funny, 101 Silly Monster Jokes, and Bozos on Patrol. He also created Bananas, a zany humor magazine which he worked on for...
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Title:Statistics For Business: Decision Making And Analysis, Student Value EditionFormat:Loose LeafDimensions:912 pages, 10.7 × 8.3 × 1.2 inPublished:January 5, 2017Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0134497260

ISBN - 13:9780134497266

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Table of Contents

I. Variation

 

1. Introduction

2. Data

3. Describing Categorical Data

4. Describing Numerical Data

5. Association Between Categorical Variables

6. Association Between Quantitative Variables

 

II. Probability

 

7. Probability

8. Conditional Probability

9. Random Variables

10. Association Between Random Variables

11. Probability Models for Counts

12. The Normal Probability Model

 

III. Inference

 

13. Samples and Surveys

14. Sampling Variation and Quality

15. Confidence Intervals

16. Statistical Tests

17. Comparison

18. Inference for Counts

 

IV. Regression Models

 

19. Linear Patterns

20. Curved Patterns

21. The Simple Regression Model

22. Regression Diagnostics

23. Multiple Regression

24. Building Regression Models

25. Categorical Explanatory Variables

26. Analysis of Variance

27. Time Series

 

Supplementary Material (Online-Only)

S1 Alternative Approaches to Inference

S2 Two-Way Analysis of Variance

S3 Regression with Big Data