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Statistics for Managers Using Excel - Jon Weimer

Statistics for Managers Using Excel

Jon Weimer (Autor)

Media-Kombination
800 Seiten
2012
Mercury Learning & Information
978-1-936420-19-3 (ISBN)
CHF 107,50 inkl. MwSt
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Suitable for business professionals, Excel users (including Excel 2010), and those who need to use the Data Analysis toolset for doing statistically-based business analysis, this book de-emphasizes the underlying mathematical concepts and emphasizes how to interpret the results that Excel provides.
Designed for business professionals, Excel users (including Excel 2010), or for a course in fundamental statistics with business applications, this book is for those who need to use the Data Analysis toolset for doing statistically-based business analysis. It de-emphasizes the underlying mathematical concepts and emphasizes how to interpret the results that Excel provides. The book covers topics such as data charting, descriptive statistics, hypothesis testing, regression analysis, and more. It includes a companion CD-ROM with statistical tables, charts, data files, etc. Numerous instructors' resources are available upon adoption.

Jon Weimer holds a PhD from Texas Tech, was a user interface designer for AT&T and General Motors, and has been teaching accelerated business students, military personnel, and adult learners for 20 years. He is the author of several books including 3ds Max Modeling: Bots, Mechs, and Droids (Jones and Bartlett Learning).

1 What Type of Data Is This?; 2 Describing Your Data (Descriptive Statistics).; 3 Measuring Association (Correlation).; 4 Probability.; 5 Probability Distributions.; 6 Hypothesis Testing with One Sample.; 7 Hypothesis Testing with Two Samples.; 8 Hypothesis Testing with > 2 Samples.; 9 Regression and the General Linear Model.; 10 Hypothesis Testing with More than 2 Variables.

Sprache englisch
Maße 178 x 229 mm
Themenwelt Informatik Office Programme Excel
Mathematik / Informatik Mathematik Computerprogramme / Computeralgebra
ISBN-10 1-936420-19-8 / 1936420198
ISBN-13 978-1-936420-19-3 / 9781936420193
Zustand Neuware
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