# Statistical Analysis with Excel For Dummies, 2nd Edition

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- eBook:Statistical Analysis with Excel For Dummies, 2nd Edition
- Author:Joseph Schmuller
- Edition:2 edition
- Categories:
- Data:June 2, 2009
- ISBN:0470454067
- ISBN-13:9780470454060
- Language:English
- Pages:508 pages
- Format:PDF

**Book Description**

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

- 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

**Content**

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 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 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

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