Statistics for Managers Using Microsoft Excel / Edition 7

Statistics for Managers Using Microsoft Excel / Edition 7

by David M. Levine, David F. Stephan, Kathryn A. Szabat, Mark L Berenson
     
 

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ISBN-10: 0133061817

ISBN-13: 9780133061819

Pub. Date: 01/25/2013

Publisher: Pearson

Intended primarily for undergraduate courses in business statistics, this text also provides practical content to current and aspiring industry professionals.

Reducing the emphasis on doing computations, this practical text thoroughly integrates Microsoft® Excel as a tool for analysis and presents statistical concepts in the context of the functional areas of

Overview

Intended primarily for undergraduate courses in business statistics, this text also provides practical content to current and aspiring industry professionals.

Reducing the emphasis on doing computations, this practical text thoroughly integrates Microsoft® Excel as a tool for analysis and presents statistical concepts in the context of the functional areas of business.

0133130800 / 9780133130805 Statistics for Managers Using Microsoft Excel Plus MyStatLab -- Access Card Package

Package consists of:

0133061817 / 9780133061819 Statistics for Managers Using Microsoft Excel

0133074382 / 9780133074383 MyStatLab -- Standalone Access Card -- for Statistics for Managers Using Microsoft Excel

Product Details

ISBN-13:
9780133061819
Publisher:
Pearson
Publication date:
01/25/2013
Edition description:
Older Edition
Pages:
792
Sales rank:
650,133
Product dimensions:
8.70(w) x 10.90(h) x 1.20(d)

Table of Contents

Let’s Get Started: Big Things to Know First

1. Defining and Collecting Data

2. Organizing and Visualizing Data

3. Numerical Descriptive Measures

4. Basic Probability

5. Discrete Probability Distributions

6. The Normal Distribution and Other Continuous Distributions

7. Sampling Distributions

8. Confidence Interval Estimation

9. Fundamentals of Hypothesis Testing: One Sample Tests

10. Two-Sample Tests

11. Analysis of Variance

12. Chi-Square and Nonparametric Tests

13. Simple Linear Regression

14. Introduction to Multiple Regression

15. Multiple Regression Model Building

16. Time-Series Forecasting

17. A Roadmap for Analyzing Data

18. Statistical Applications in Quality Management (online)

19. Decision Making

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