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Data Analysis Using Microsoft Excel: Updated for Office XP, by Michael R. Middleton
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Spreadsheet skills are important for a first job, and DATA ANALYSIS USING MICROSOFT EXCEL prepares students to enter the world of work with stronger spreadsheet skills. Designed as a supplement to a main statistics text or as a reference for professionals, this handbook helps students build their proficiency in Microsoft Excel and shows them how to use the built-in capabilities of Excel to analyze data and make decisions. Although many of the examples are business oriented, the step-by-step approach makes this book appropriate for statistical analysis in other courses and academic disciplines.
- Sales Rank: #951565 in Books
- Brand: Brand: Cengage Learning
- Published on: 2003-03-07
- Released on: 2003-03-07
- Original language: English
- Number of items: 1
- Dimensions: 9.25" h x .67" w x 7.38" l, 1.11 pounds
- Binding: Paperback
- 296 pages
- Used Book in Good Condition
Review
1. Introduction to Excel. 2. Managing Files and Printing. 3. Basic Charts. 4. Univariate Numerical Data. 5. Categorical Data. 6. Bivariate Numerical Data. 7. Probability Distributions. 8. Sampling and Simulation. 9. One-Sample Inference for the Mean. 10. Quality Control Charts. 11. Two-Sample Inference for the Mean. 12. Chi-Square Tests. 13. Analysis of Variance. 14. Simple Linear Regression. 15. Simple Nonlinear Regression. 16. Multiple Regression. 17. Regression using Categorical Data. 18. Autocorrelation and Autoregression. 19. Time Series Smoothing. 20. Time Series Seasonality. Appendix. References. Index.
About the Author
Michael R. Middleton is a Professor of Decision Sciences at the School of Business and Management, University of San Francisco, where he has taught since 1977. He is a member of the Decision Sciences Institute, the Institute for Operations Research and the Management Sciences, and the American Statistical Association. He has published three books with Duxbury, delivered a variety of seminars and workshops in decision science, and authored two decision science software programs.
Most helpful customer reviews
0 of 0 people found the following review helpful.
Three Stars
By Katharine Shaver
Required for a college course, don't recall ever having to use it.
1 of 1 people found the following review helpful.
Data analysis using microsoft excel
By Abdallah Chbeir
The book is good: however, it is worth noting that I barely used. It was for a crash course in excel, and I worked for 2 years with excel, so I already was very comfortable with it. However it was a requirement for my course.
Nonetheless, the chapters I had to look at were very well explained.
1 of 1 people found the following review helpful.
Good fundamentals
By EvS
The book is a good fundamentals review of Excel capability for statistical data analysis. This type of book is good to have as a reference for those not using Excel stats every day. Simple, and clear how to do it which I like. Dr. Middleton's style is simple and straightforward as noted in other software and publications which is great for those of us who are not staticians but need statistics to help convey risk, variability and analysis conclusions.
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