Statistical Analysis with Excel for Dummies, 3rd Edition
- 6h 34m
- Joseph Schmuller
- John Wiley & Sons (US)
- 2013
Take the mystery out of statistical terms and put Excel to work!
If you need to create and interpret statistics in business or classroom settings, this easy-to-use guide is just what you need. It shows you how to use Excel's powerful tools for statistical analysis, even if you've never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You'll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations.
- Statistics have a reputation for being challenging and math-intensive; this friendly guide makes statistical analysis with Excel easy to understand
- Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more
- Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations
- Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations
Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel's statistical analysis tools in your daily life.
About the Author
Joseph Schmuller, PhD, is a technical architect at Blue Cross-Blue Shield of Florida. An adjunct professor at the University of North Florida, he is a former member of the American Statistical Association and has taught statistics at the undergrad, honors undergrad, and graduate levels.
In this Book
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Introduction
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Evaluating Data in the Real World
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Understanding Excel's Statistical Capabilities
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Show and Tell—Graphing Data
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Finding Your Center
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Deviating from the Average
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Meeting Standards and Standings
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Summarizing it All
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What's Normal?
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The Confidence Game—Estimation
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One-Sample Hypothesis Testing
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Two-Sample Hypothesis Testing
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Testing More than Two Samples
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Slightly More Complicated Testing
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Regression—Linear and Multiple
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Correlation—The Rise and Fall of Relationships
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Introducing Probability
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More on Probability
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A Career in Modeling
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Ten Statistical and Graphical Tips and Traps
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Ten Things (Thirteen, Actually) That Just Didn't Fit in any other Chapter
