Statistics for Business Decision Making and Analysis, Loose-Leaf Edition Plus MyLab Statistics with Pearson eText -- 24 Month Access Card Package

by Stine, Robert A.; Foster, Dean

• ISBN13: 9780134763736
• ISBN10: 0134763734
• Edition: 3rd
• Format: Package
• Copyright: 2017-04-23
• Publisher: Pearson

Summary

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 platforms.

 

Used books, rentals, and purchases made outside of Pearson

If purchasing or renting from companies other than Pearson, the access codes for Pearson's MyLab products may not be included, may be incorrect, or may be previously redeemed. Check with the seller before completing your purchase.

 

For one- and two-semester courses in introductory business statistics.

This package includes MyLab 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. 

Personalize learning 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: This package includes a MyLab Math access kit created specifically for Stine/Foster, Statistics for Business: Decision Making and Analysis, 3/e. This title-specific access kit provides access to the Stine/Foster, Statistics for Business: Decision Making and Analysis, 3/e   accompanying MyLab course ONLY.

 

0134763734 / 9780134763736  Statistics for Business: Decision Making and Analysis, Student Value Edition Plus MyLab Statistics with Pearson eText - Access Card Package, 3/e

Package consists of:

• 0134497260 / 9780134497266 Statistics for Business: Decision Making and Analysis, Student Value Edition
• 0134748646 / 9780134748641 MyLab Statistics for Business Stats with Pearson eText - Standalone Access Card - for Statistics for Business: Decision Making and Analysis

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