Data Analysis Using Microsoft Excel : Updated for Office XP
3rd Edition
Published on 7. March 2003
Book
Paperback/Softback
296 pages
978-0-534-40293-8 (ISBN)
Description
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.
Reviews / Votes
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.More details
Edition
3rd Revised edition
Language
English
Place of publication
CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Professional and scholarly
Edition type
Revised edition
Illustrations
Illustrations
ISBN-13
978-0-534-40293-8 (9780534402938)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Michael Middleton
Data Analysis Using Microsoft Excel: Updated for Office 97
Book
07/1999
2nd Edition
Brooks/Cole
€48.46
Article exhausted; check for reprint
Person
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.
Content
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.