Statistical Analysis with Excel For Dummies

Schmuller, Joseph

ISBN 10: 0470454067 / ISBN 13: 9780470454060

Published by For Dummies (edition 2), 2009

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0470454067-11-1

Bibliographic Details

• Title: Statistical Analysis with Excel For Dummies
• Publisher: For Dummies (edition 2)
• Publication Date: 2009
• Language: English
• ISBN 10: 0470454067
• ISBN 13: 9780470454060
• Binding: Paperback
• Edition: 2.
• Condition: Very Good

About this title

Synopsis

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

About the Author

Joseph Schmuller, PhD, is a technical architect at Blue Cross-Blue Shield of Florida. A former member of the American Statistical Association, he has taught statistics at the undergraduate, honors undergraduate, and graduate levels, and has been honored with an award for excellence in teaching.