Statistics for Business Decision Making and Analysis, Student Value Edition

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.

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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

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

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