Overview

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 programme.

Full Product Details

Author:   Neil J. Salkind
Publisher:   SAGE Publications Inc
Imprint:   SAGE Publications Inc
Edition:   2nd Revised edition
Dimensions:   Width: 17.80cm , Height: 2.50cm , Length: 25.40cm
Weight:   0.726kg
ISBN:  

9781412971027

ISBN 10:   1412971020
Pages:   424
Publication Date:   02 April 2009
Audience:   College/higher education ,  Undergraduate ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Out of Print
Availability:   In Print  
Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock.

Table of Contents

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 Difference: 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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Author Information

Neil J. Salkind is Professor Emeritus at the University of Kansas, where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, nonintimidating and noncondescending way. He is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics - a Quick Guide, and the recently edited Encyclopedia of Research Design.

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