# Statistics for People Who (Think They) Hate Statistics: Excel 2007 Edition / Edition 2

ISBN-10: 1412971020

ISBN-13: 2901412971026

Pub. Date: 04/02/2009

Publisher: SAGE Publications

This textbook introduces the most commonly used techniques to organize data and perform basic statistical work. Salkind (human development, University of Kansas) covers computing measures of central tendency, distributions and curve plotting, graphing data, probability, statistical significance, correlation/regression, ANOVA, and multiple regression. Annotation c.

## Overview

This textbook introduces the most commonly used techniques to organize data and perform basic statistical work. Salkind (human development, University of Kansas) covers computing measures of central tendency, distributions and curve plotting, graphing data, probability, statistical significance, correlation/regression, ANOVA, and multiple regression. Annotation c. Book News, Inc., Portland, OR

## Product Details

ISBN-13:
2901412971026
Publisher:
SAGE Publications
Publication date:
04/02/2009
Edition description:
Second Edition
Pages:
424

## Related Subjects

Part I: Yippee! I'm in Statistics Chapter 1: Statistics or Sadistics? It's Up to You Part II: Sigma Freud and Descriptive Statistics Chapter 2: Means to an End: Computing and Understanding Averages Chapter 3: Vive la Différence: Understanding Variability Chapter 4: A Picture Really Is Worth a Thousand Words Chapter 5: Ice Cream and Crime: Computing Correlation Coefficients Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity Part III: Taking Chances for Fun and Profit Chapter 7: Hypotheticals and You: Testing Your Questions Chapter 8: Are Your Curves Normal? Probability and Why It Counts Part IV: Significantly Different: Using Inferential Statistics Chapter 9: Significantly Significant: What It Means for You and Me Chapter 10: t(ea) for Two: Tests Between the Means of Different Groups Chapter 11: t(ea) for Two (Again): Tests Between the Means of Related Groups Chapter 12: Two Groups Too Many? Try Analysis of Variance Chapter 13: Two Too Many Factors: Factorial Analysis of Variance Chapter 14: Cousins or Just Friends? Testing Relationships Using the Correlation Coefficient Chapter 15: Predicting Who'll Win the Super Bowl: Using linear Regression Chapter 16: What to Do When You're Not Normal: Chi-Square and Some other Nonparametric Tests Chapter 17: Some Other (Important) Statistical Procedures You Should Know About Chapter 18: A Statistical Software Sampler Part V: Ten Things You'll Want to Know and Remember Chapter 19: The Ten Best Internet Sites for Statistics Stuff Chapter 20: The Ten Commandments of Data Collection Appendix A: SPSS in Less Than 30 Minutes Appendix B: Tables Appendix C: Data Sets Appendix D: Your Reward: The Brownie Recipe Glossary Index

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