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Product Description
Product Description
A clear and easy–to–understand guide on using Excel to create and interpret statistics
- Shows readers how to use Excel for statistical analysis–even if they haven′t taken a statistics class or if they′re math–challenged–and helps them confidently use Excel to crunch the numbers and interpret the statistics of everyday life, from business and sports stats to gambling odds and medical correlations
- Covers formulas and functions, charts and PivotTables, samples and normal distributions, and probabilities and related distributions
- Demystifies statistical terms such as median vs. mean, margin of error, standard deviation, permutations, and correlations
Joseph Schmuller, PhD (Jacksonville, FL), is a technical architect at Blue Cross–Blue Shield of Florida. He is the author of several books and numerous articles on advanced technology.
From the Back Cover
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
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Customer Reviews
Do not have time here to go through all the pain again, put it in simple words, if you expect to learn excel efficiently, then look for something else, this is not the book for you to learn.
i have used it to clarify concepts once i've studied them elsewhere- by giving you a different perspective it helps to really capture the concept
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