Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, 4th Edition / Edition 4

Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, 4th Edition / Edition 4

by Neil J. Salkind
     
 

Prepared by David Kremelberg (University of Connecticut, Storrs), this study guide offers additional review and practice to help you succeed in your statistics class. Each chapter corresponds to the appropriate chapter in Neil Salkind'sStatistics for People Who (Think They) Hate Statistics, Fourth Edition, and contains the following:a chapterSee more details below

Overview

Prepared by David Kremelberg (University of Connecticut, Storrs), this study guide offers additional review and practice to help you succeed in your statistics class. Each chapter corresponds to the appropriate chapter in Neil Salkind'sStatistics for People Who (Think They) Hate Statistics, Fourth Edition, and contains the following:a chapter outline;learning objectives;key terms; achapter summary;true/false, short-answer, and essay questions; and exercises.

Product Details

ISBN-13:
9781412904766
Publisher:
SAGE Publications
Publication date:
02/15/2011
Edition description:
Study Guid
Pages:
128
Product dimensions:
8.30(w) x 10.90(h) x 0.50(d)

Table of Contents

Chapter 1: Statistics or Sadistics? It’s up to You
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: Correlation Coefficients
Chapter 6: Just the Truth: An Introduction to Understanding Reliability and Validity
Chapter 7: Hypotheticals and You: Testing Your Questions
Chapter 8: Are Your Curves Normal? Probability and Why It Counts
Chapter 9: Significantly Significant: What It Means for You and Me
Chapter 10: Only the Lonely: The One-Sample Z Test
Chapter 11: t(ea) for Two: Test between the Means of Different Groups
Chapter 12: t(ea) for Two (Again): Tests between the Means of Related Groups
Chapter 13: Two Groups Too Many? Try Analysis of Variance
Chapter 14: Two Too Many Factors: Factorial Analysis of Variance
Chapter 15: Cousins or Just Good Friends? Testing Relationships Using the Correlation Coefficient
Chapter 16: Predicting Who’ll Win the Super Bowl: Using Linear Regression
Chapter 17: What to Do When You’re Not Normal: Chi-Square and Some Other Non-Parametric Tests
Chapter 18: Some Other (Important) Statistical Procedures You Should Know About

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