Statistical Analysis with Excel For Dummies

Take the mystery out of statistical terms and put Excel to work! If you need to create and interpret statistics in business or classroom settings, this easy–to–use guide is just what you need. It shows you how to use Excel′s powerful tools for statistical analysis, even if you′ve never taken a course in statistics. Learn the meaning of terms like mean and median, margin of error, standard deviation, and permutations, and discover how to interpret the statistics of everyday life. You′ll learn to use Excel formulas, charts, PivotTables, and other tools to make sense of everything from sports stats to medical correlations. Statistics have a reputation for being challenging and math–intensive, this friendly guide makes statistical analysis with Excel easy to understand Explains how to use Excel to crunch numbers and interpret the statistics of everyday life: sales figures, gambling odds, sports stats, a grading curve, and much more Covers formulas and functions, charts and PivotTables, samples and normal distributions, probabilities and related distributions, trends, and correlations Clarifies statistical terms such as median vs. mean, margin of error, standard deviation, correlations, and permutations Statistical Analysis with Excel For Dummies, 3rd Edition helps you make sense of statistics and use Excel′s statistical analysis tools in your daily life.

Introduction ,1 Part I: Getting Started with Statistical Analysis with Excel ,7 Chapter 1: Evaluating Data in the Real World 9 Chapter 2: Understanding Excel&rsquo,s Statistical Capabilities 31 Part II: Describing Data ,63 Chapter 3: Show and Tell: Graphing Data 65 Chapter 4: Finding Your Center 97 Chapter 5: Deviating from the Average 113 Chapter 6: Meeting Standards and Standings 131 Chapter 7: Summarizing It All 147 Chapter 8: What&rsquo,s Normal? 173 Part III: Drawing Conclusions from Data 185 Chapter 9: The Confi dence Game: Estimation 187 Chapter 10: One–Sample Hypothesis Testing 203 Chapter 11: Two–Sample Hypothesis Testing 219 Chapter 12: Testing More Than Two Samples 251 Chapter 13: Slightly More Complicated Testing 279 Chapter 14: Regression: Linear and Multiple 293 Chapter 15: Correlation: The Rise and Fall of Relationships 331 Part IV: Probability ,353 Chapter 16: Introducing Probability 355 Chapter 17: More on Probability 379 Chapter 18: A Career in Modeling 393 Part V: The Part of Tens ,413 Chapter 19: Ten Statistical and Graphical Tips and Traps 415 Chapter 20: Ten Things (Thirteen, Actually) That Just Didn&rsquo,t Fit in Any Other Chapter 421 Appendix A: When Your Worksheet Is a Database 451 Appendix B: The Analysis of Covariance ,467 Index ,481 Bonus Appendix 1: When Your Data Live Elsewhere Bonus Appendix 2: Tips for Teachers (And Learners)