Statistics for Managers using MS Excel
Author:   David M. Levine ,  Mark L. Berenson ,  Timothy C. Krehbiel ,  David F. Stephan
Publisher:   Pearson Education (US)
Edition:   6th edition
ISBN:  

9780137035199


Pages:   840
Publication Date:   14 April 2010
Replaced By:   9780133061819
Format:   Paperback
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

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Statistics for Managers using MS Excel


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Overview

Analyze the data, see the business relevance.  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. The sixth edition focuses on making statistics even more relevant to the business world and builds on the book’s hallmark feature of helping readers with the analysis of statistics.

Full Product Details

Author:   David M. Levine ,  Mark L. Berenson ,  Timothy C. Krehbiel ,  David F. Stephan
Publisher:   Pearson Education (US)
Imprint:   Pearson
Edition:   6th edition
Dimensions:   Width: 21.60cm , Height: 3.30cm , Length: 27.60cm
Weight:   1.930kg
ISBN:  

9780137035199


ISBN 10:   0137035195
Pages:   840
Publication Date:   14 April 2010
Audience:   College/higher education ,  Undergraduate
Replaced By:   9780133061819
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print   Availability explained
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

1. Introduction 2. Organizing and Visualizing Data 3. Descriptive Statistics 4. Basic Probability 5. Discrete Probability Distributions 6. The Normal Distribution and Other Continuous Distributions 7. Sampling and 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 Tests and Non-Parametric Tests 13. Simple Linear Regression 14. Introduction to Multiple Regression 15. Multiple Regression Model Building 16. Time-Series Forecasting 17. Statistical Applications in Quality Management 18. Data Analysis Overview 19. Online Topic: Decision Making

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