Study Guide to Accompany Neil J. Salkind's Statistics for People Who (Think They) Hate Statistics, 4th Edition,9781412904766

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

by Neil J. Salkind

Edition:

4th

ISBN13:

9781412904766

ISBN10:

1412904765

Format:

Paperback

Pub. Date:

2/15/2011

Publisher(s):

SAGE Publications, Inc

Other versions by this Author

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Summary

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!

Statistics or Sadistics? ItâÇÖs up to You
Means to an End: Computing and Understanding Averages
Vive La DiffÃ©rence: 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 WhoâÇÖll Win the Super Bowl: Using Linear Regression
What to Do When YouâÇÖre Not Normal: Chi-Square and Some Other Non-Parametric Tests
Some Other (Important) Statistical Procedures You Should Know About
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