Data Analysis Using Microsoft Excel Updated for Office XP

Name: Data Analysis Using Microsoft Excel Updated for Office XP
Availability: InStock
ISBN: 9780534402938

ISBN-10: 0534402933

ISBN-13: 9780534402938

Edition: 3rd 2004 (Revised)

Authors: Michael R. Middleton

List price: $126.95

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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.

Book details

List price: $126.95
Edition: 3rd
Copyright year: 2004
Publisher: Brooks/Cole
Publication date: 3/7/2003
Binding: Paperback
Pages: 296
Size: 7.25" wide x 9.00" long x 0.75" tall
Weight: 1.100
Language: English

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.




Introduction to Excel



Managing Files and Printing



Basic Charts



Univariate Numerical Data



Categorical Data



Bivariate Numerical Data



Probability Distributions



Sampling and Simulation



One-Sample Inference for the Mean



Quality Control Charts



Two-Sample Inference for the Mean



Chi-Square Tests



Analysis of Variance



Simple Linear Regression



Simple Nonlinear Regression



Multiple Regression



Regression using Categorical Data



Autocorrelation and Autoregression



Time Series Smoothing



Time Series Seasonality


Appendix


References


Index