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Essentials of Modern Business Statistics With Ms Excel
Essentials of Modern Business Statistics With Ms Excel
Author: Anderson, David R.
Edition/Copyright: 4TH 09
ISBN: 0-324-78351-5
Publisher: South-Western Publishing Co.
Type: Hardback
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Author Bio
Summary
Table of Contents
 
  Author Bio

Thomas A. Williams is Professor of Management Science in the College of Business at Rochester Institute of Technology (RIT). Born in Elmira, New York, he earned his BS degree at Clarkson University. He completed his graduate work at Rensselaer Polytechnic Institute, where he received his MS and PhD degrees. Before joining the College of Business at RIT, Professor Williams served for seven years as a faculty member in the College of Business Administration at the University of Cincinnati, where he developed the first undergraduate program in Information Systems. At RIT he was the first chair of the Decision Sciences Department. Professor Williams is the coauthor of 11 textbooks in the areas of management science, statistics, production and operations management, and mathematics. He has been a consultant for numerous Fortune 500 companies in areas ranging from the use of elementary data analysis to the development of large-scale regression models.

 
  Summary

From the renowned author team that has been writing market-leading business statistics textbooks for more than 20 years, ESSENTIALS OF MODERN BUSINESS STATISTICS with Microsoft Office Excel, Fourth Edition, provides a brief introduction to business statistics that balances a conceptual understanding of statistics with the real-world application of statistical methodology. The latest version of Microsoft Excel, Microsoft Excel 2007, is integrated throughout the text, showing step-by-step instructions and screen captures to enhance student learning. The fourth edition contains the same student learning features that have made ASW products best-sellers for years, including the problem-scenario approach and real-world examples that introduce statistical techniques.

 
  Table of Contents

1. Data and Statistics.

2. Descriptive Statistics: Tabular and Graphical Presentations.

3. Descriptive Statistics: Numerical Measures.

4. Introduction to Probability.

5. Discrete Probability Distributions.

6. Continuous Probability Distributions.

7. Sampling and Sampling Distributions.

8. Interval Estimation.

9. Hypothesis Tests.

10. Comparisons Involving Means, Experimental Design, and Analysis of Variance.

11. Comparisons Involving Proportions and a Test of Independence.

12. Simple Linear Regression.

13. Multiple Regression.

14. Statistics for Quality Control.

 

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