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## Statistical Analysis with Excel for Dummies, Second Edition

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

### Biography

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.

Introduction.

Part I: Statistics and Excel: A Marriage Made in Heaven.

Chapter 1: Evaluating Data in the Real World.

Chapter 2: Understanding Excel’s Statistical Capabilities.

Part II: Describing Data.

Chapter 3: Show and Tell: Graphing Data.

Chapter 5: Deviating from the Average.

Chapter 6: Meeting Standards and Standings.

Chapter 7: Summarizing It All.

Chapter 8: What’s Normal?

Part III: Drawing Conclusions from Data.

Chapter 9: The Confi dence Game: Estimation.

Chapter 10: One-Sample Hypothesis Testing.

Chapter 11: Two-Sample Hypothesis Testing.

Chapter 12: Testing More Than Two Samples.

Chapter 13: Slightly More Complicated Testing.

Chapter 14: Regression: Linear and Multiple.

Chapter 15: Correlation: The Rise and Fall of Relationships.

Part IV: Working with Probability.

Chapter 16: Introducing Probability.

Chapter 17: More on Probability.

Chapter 18: A Career in Modeling.

Part V: The Part of Tens.

Chapter 19: Ten Statistical and Graphical Tips and Traps.

Chapter 20: Ten Things (Twelve, Actually) That Didn’t Fit in Any Other Chapter.

Appendix A: When Your Worksheet Is a Database.

Appendix B: The Analysis of Covariance.

Appendix C: Of Stems, Leaves, Boxes, Whiskers, and Smoothies.

Index.

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