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

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  • Edition: 4th
  • Format: Paperback
  • Copyright: 2011-02-15
  • Publisher: SAGE Publications, Inc
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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#xA0;Statistics for People Who (Think They) Hate Statistics, Fourth Edition and contains the following: A chapter outline #xB7; Learning objectives #xB7; Key terms #xB7; A chapter summary #xB7; True/false, short-answer, and essay questions #xB7; Exercises You will also find useful study resources on the open-access Student Study Site at http://www.sagepub.com/salkind4e, including quizzes, flashcards, and the datasets referenced in the book. Value-Priced Bundle Option! For just $5 more than the price of the standalone text, this Study Guide can be packaged with the Fourth Edition of Statistics for People Who (Think They) Hate Statistics (ISBN: 978-1-4129-9920-5). Please contact your Sales Representative for more information!

Table of Contents

Statistics or Sadistics? It‚«÷s up to You
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: 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
Only the Lonely: The One-Sample Z Test
t(ea) for Two: Test 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 Non-Parametric Tests
Some Other (Important) Statistical Procedures You Should Know About
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