Statistical Analysis with Excel for Dummies, 2nd Edition
- 6h 9m
- Joseph Schmuller
- John Wiley & Sons (US)
- 2009
You too can understand the statistics of life, even if you're math-challenged!
What do you need to calculate? Manufacturing output? A curve for test scores? Sports stats? You and Excel can do it, and this non-intimidating guide shows you how. It demystifies the different types of statistics, how Excel functions and formulas work, the meaning of means and medians, how to interpret your figures, and more — in plain English.
- Getting there — learn how variables, samples, and probability are used to get the information you want
- Excel tricks — find out what's built into the program to help you work with Excel formulas
- Playing with worksheets — get acquainted with the worksheet functions for each step
- Graphic displays — present your data as pie graphs, bar graphs, line graphs, or scatter plots
- What's normal? — understand normal distribution and probability
- Hyping hypotheses — learn to use hypothesis testing with means and variables
- When regression is progress — discover when and how to use regression for forecasting
- What are the odds — work with probability, random variables, and binomial distribution
Open the book and find:
- Ten statistical and graphical tips and traps
- The difference between descriptive and inferential statistics
- Why graphs are good
- How to measure variations
- What standard scores are and why they're used
- When to use two-sample hypothesis testing
- How to use correlations
- Different ways of working with probability
About the Author
Joseph Schmuller, PhD, is a technical architect at Blue Cross-Blue Shield of Florida. A former member of the American Statistical Association, he has taught statistics at the undergraduate, honors undergraduate, and graduate levels, and has been honored with an award for excellence in teaching.
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 (Twelve, Actually) That Didn't Fit in Any other Chapter
