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.

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