Joseph Schmuller 
Statistical Analysis with Excel For Dummies 

There’s nothing random about it–this is the book on statistical analysis with Excel

Stunned by statistics? Exhausted by Excel? Relax! Statistical Analysis with Excel For Dummies, 4th Edition shows you how to use the world’s most popular spreadsheet program to crunch numbers and interpret statistics–even if you’ve never taken a statistics or advanced math course. In no time, you’ll learn to use Excel to create and translate statistics in everyday life, understand common statistical terms, and improve your classroom or professional skills.

Statistics has a reputation for being a challenging, math-intensive pursuit–but it doesn’t have to make your palms sweat. Using a minimum of equations and assuming no prior knowledge of statistics or Excel, this hands-on guide cuts through the jargon and shows you how to make sense of formulas and functions, charts and Pivot Tables, samples and normal distributions, probabilities and related distributions, trends and correlations, and much more.

* Use Excel’s tools to analyze and understand data

* Apply statistical analysis to predict trends and make decisions

* Interpret sales figures, gambling odds, and sports stats

* Develop a grading curve or medical correlations

Forget the mumbo jumbo! This guide shows you that statistical analysis with Excel can be easy, fun, and useful!

Table of Content

Introduction 1

Part 1: Getting Started with Statistical Analysis with Excel: A Marriage Made in Heaven 7

CHAPTER 1: Evaluating Data in the Real World 9

CHAPTER 2: Understanding Excel’s Statistical Capabilities 31

Part 2: Describing Data 61

CHAPTER 3: Show and Tell: Graphing Data 63

CHAPTER 4: Finding Your Center 101

CHAPTER 5: Deviating from the Average 117

CHAPTER 6: Meeting Standards and Standings 135

CHAPTER 7: Summarizing It All 151

CHAPTER 8: What’s Normal? 171

Part 3: Drawing Conclusions from Data 183

CHAPTER 9: The Confidence Game: Estimation 185

CHAPTER 10: One-Sample Hypothesis Testing 199

CHAPTER 11: Two-Sample Hypothesis Testing 217

CHAPTER 12: Testing More Than Two Samples 249

CHAPTER 13: Slightly More Complicated Testing 275

CHAPTER 14: Regression: Linear and Multiple 295

CHAPTER 15: Correlation: The Rise and Fall of Relationships 331

CHAPTER 16: It’s About Time 351

CHAPTER 17: Non-Parametric Statistics 363

Part 4: Probability 377

CHAPTER 18: Introducing Probability 379

CHAPTER 19: More on Probability 403

CHAPTER 20: A Career in Modeling 417

Part 5: The Part of Tens 437

CHAPTER 21: Ten Statistical and Graphical Tips and Traps 439

CHAPTER 22: Ten Things (Twelve, Actually) That Just Didn’t Fit in Any Other Chapter 445

APPENDIX A: When Your Worksheet Is a Database 471

APPENDIX B: The Analysis of Covariance 487

Index 501

About the author

Joseph Schmuller, Ph D, is a Research Scholar at the University of North Florida. He is a former member of the American Statistical Association and has taught statistics at the undergraduate, honors undergraduate, and graduate levels.