Statistics for People Who (Think They) Hate Statistics : Excel 2007 Edition

by Neil J. Salkind

• ISBN13: 9781412971027
• ISBN10: 1412971020
• Edition: 2nd
• Format: Paperback
• Copyright: 2009-04-02
• Publisher: SAGE Publications, Inc

Summary

Utilizing the personable and clear approach that made Statistics for People Who (Think They) Hate Statistics a bestseller, Neil J. Salkind focuses on the use of Excel as the primary analytic tool in the Second Edition of Statistics for People Who Think They Hate Statistics ' Excel 2007 Edition. Salkind walks readers through various statistical procedures, beginning with correlations and graphical representation of data and ending with inferential techniques and analysis of variance. Throughout the book, he reveals the full capabilities of Excel, beginning with Part I, which is an introduction to Excel to the end, where he presents an extensive overview of Excel functionality.Key Features of the Second Edition:Reflects all Excel material based on Excel 2007 including all screen grabs Moves the reliability and validity chapter forward Offers more examples throughout the text and more end of chapter exercises Includes new and updated icons to explore certain topics in detail Presents the answers to the Time to Practice exercises to follow in chapter rather than at end of book  Contains an Appendix detailing the differences between Excel 2003 to Excel 2007 Incorporates the use of the new Data Analysis Toolpak option Covers formulas and functions in more detailIntended Audience This text is designed for students taking Introduction to Statistics courses in applied disciplines, especially in business & management and the human services.

Table of Contents

Yippee! I'm in Statistics

Statistics or Sadistics? It's Up to You

Sigma Freud and Descriptive Statistics

Means to an End: Computing and Understanding Averages

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

Taking Chances for Fun and Profit

Hypotheticals and You: Testing Your Questions

Are Your Curves Normal? Probability and Why It Counts

Significantly Different: Using Inferential Statistics

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 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

Ten Things You'll Want to Know and Remember

The Ten Best Internet Sites for Statistics Stuff

The Ten Commandments of Data Collection

SPSS in Less Than 30 Minutes

Tables

Data Sets

Your Reward: The Brownie Recipe

Glossary

Index

Table of Contents provided by Ingram. All Rights Reserved.