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# Statistical Analysis with Excel For Dummies, 2nd Edition

PDF
• 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
You too can understand the statistics of life, even if you're math-challenged!
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
Open the book and find:
• 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

Part I: Statistics and Excel: A Marriage Made in Heaven
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 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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