Statistical Analysis with Excel For Dummies, 4 edition

PDF
- eBook:Statistical Analysis with Excel For Dummies, 4 edition
- Author:Joseph Schmuller
- Edition:4 edition
- Categories:
- Data:July 25, 2016
- ISBN:1119271150
- ISBN-13:9781119271154
- Language:English
- Pages:552 pages
- Format:PDF
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
-
Content
CHAPTER 1: Evaluating Data in the Real World
CHAPTER 2: Understanding Excel’s Statistical Capabilities
Part 2: Describing Data
CHAPTER 3: Show and Tell: Graphing Data
CHAPTER 4: Finding Your Center
CHAPTER 5: Deviating from the Average
CHAPTER 6: Meeting Standards and Standings
CHAPTER 7: Summarizing It All
CHAPTER 8: What’s Normal?
Part 3: Drawing Conclusions from Data
CHAPTER 9: The Confidence 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
CHAPTER 16: It’s About Time
CHAPTER 17: Non-Parametric Statistics
Part 4: Probability
CHAPTER 18: Introducing Probability
CHAPTER 19: More on Probability
CHAPTER 20: A Career in Modeling
Free sample
-