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Title:Excel 2013 for Business Statistics: A Guide to Solving Practical Business Problems
Author(s):Thomas J. Quirk (auth.)
Series:Excel for Statistics
Publisher:Springer International Publishing
Year:2015
Language:English
Pages:260
ISBN:978-3-319-11981-6, 978-3-319-11982-3
This is the first book to show the capabilities of Microsoft Excel to teach business statistics effectively. It is a step-by-step exercise-driven guide for students and practitioners who need to master Excel to solve practical business problems. If understanding statistics isn’t your strongest suit, you are not especially mathematically-inclined, or if you are wary of computers, this is the right book for you.
Excel, a widely available computer program for students and managers, is also an effective teaching and learning tool for quantitative analyses in business courses. Its powerful computational ability and graphical functions make learning statistics much easier than in years past. However, Excel 2013 for Business Statistics: A Guide to Solving Practical Problems is the first book to capitalize on these improvements by teaching students and managers how to apply Excel to statistical techniques necessary in their courses and work.
Each chapter explains statistical formulas and directs the reader to use Excel commands to solve specific, easy-to-understand business problems.Practice problems are provided at the end of each chapter with their solutions in an Appendix.Separately, there is a full Practice Test (with answers in an Appendix) that allows readers to test what they have learned.
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Table of contents :
Front Matter....Pages i-xv
Sample Size, Mean, Standard Deviation, and Standard Error of the Mean....Pages 1-21
Random Number Generator....Pages 23-38
Confidence Interval About the Mean Using the TINV Function and Hypothesis Testing....Pages 39-67
One-Group t-Test for the Mean....Pages 69-85
Two-Group t-Test of the Difference of the Means for Independent Groups....Pages 87-114
Correlation and Simple Linear Regression....Pages 115-158
Multiple Correlation and Multiple Regression....Pages 159-174
One-Way Analysis of Variance (ANOVA)....Pages 175-192
Back Matter....Pages 193-260
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