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 PivotTables, 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!
Auflage
Sprache
Verlagsort
Verlagsgruppe
Maße
Höhe: 229 mm
Breite: 188 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-1-119-27115-4 (9781119271154)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Joseph Schmuller, PhD, 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.
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
