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Statistics for people who (think they) hate statistics : Excel 2007 edition

Author: Neil J Salkind
Publisher: Thousand Oaks, Calif. : SAGE Publications, ©2010.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
This edition shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques.
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Document Type: Book
All Authors / Contributors: Neil J Salkind
ISBN: 9781412971027 1412971020
OCLC Number: 276274632
Notes: This edition shows the students how to install the Excel Analysis ToolPak option (free) to earn access to a host of new and very useful analytical techniques.
Includes index.
Description: xxi, 399 pages : illustrations ; 26 cm
Contents: Statistics or sadistics? It's up to you --
Computing and understanding averages : means to an end --
Vive la différence : understanding variability --
A picture really is worth a thousand words --
Ice cream and crime : computing correlation coefficients --
Just the truth : an introduction to understanding reliability and validity --
Hypotheticals and you : testing your questions --
Are your curves normal? Probability and why it counts --
Significantly significant : what it means for you and me --
t(ea) for two : tests between the means of different groups --
t(ea) for two (again) : tests between the means of related groups --
Two groups too many? Try analysis of variance --
Two too many factors : factorial analysis of variance --
Cousins or just good friends? Testing relationships using the correlation coefficient --
Predicting who'll win the Super Bowl : using linear regression --
What to do when you're not normal : chi-square and some other nonparametric tests --
Some other (important) statistical procedures you should know about --
A statistical software sampler --
The ten (or more) best (and most fun) Internet sites for statistics stuff --
The ten commandments of data collection.
Responsibility: Neil J. Salkind.

Abstract:

This easy-to-read text makes statistical analysis using Excel easy! There are lots of exercises, a glossary and other pedagogical features to help students and researchers get the most out of the  Read more...

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