Statistics for People Who (Think They) Hate Statistics

ISBN-10: 1412979595

ISBN-13: 9781412979597

Edition: 4th 2011

Authors: Neil J. Salkind
List price: $47.99 Buy it from $4.41
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Book details

List price: $47.99
Edition: 4th
Copyright year: 2011
Publisher: SAGE Publications, Incorporated
Publication date: 11/16/2010
Binding: Paperback
Pages: 472
Size: 7.25" wide x 10.50" long x 1.25" tall
Weight: 1.804
Language: English

Neil J. Salkind received his PhD from the University of Maryland in Human Development. After teaching for 35 years at the University of Kansas, he remains a professor emeritus in the department of psychology and research in education, where he continues to collaborate with colleagues and work with students. His early interests were in the area of children's cognitive development, and after research in the areas of cognitive style and (what was then known as) hyperactivity, he was a postdoctoral fellow at the University of North Carolina's Bush Center for Child and Family Policy. His work then changed direction to focus on child and family policy, specifically the impact of alternative forms of public support on various child and family outcomes. He has delivered more than 150 professional papers and presentations, written more than 100 trade and textbooks, and is the author of Statistics for People Who (Think They) Hate Statistics (SAGE), Theories of Human Development (SAGE), and Exploring Research (Prentice Hall). He has edited several encyclopedias, including the Encyclopedia of Human Development, the Encyclopedia of Measurement and Statistics, and the recently published Encyclopedia of Research Design. He was editor of Child Development Abstracts and Bibliography for 13 years and lives in Lawrence, Kansas, where he likes to read, swim with the River City Sharks, letterpress print using 1820s technology, bake brownies (see the Excel version of Statistics for People Who (Think They) Hate Statistics for the recipe at http://www.statisticsforpeople.com), and poke around old Volvos and old houses.

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Sigma Freud and Descriptive Statistics
Means to an End: Computing and Understanding Averages
Vive la Diff�rence: Understanding Variability
A Picture Really Is Worth a Thousand Words
Ice Cream and Crime: Computing Correlation Coefficients
Just the Truth: An Introduction to Understanding Reliability and Validity
Taking Chances for Fun and Profit
Hypotheticals and You: Testing Your Questions
Are Your Curves Normal? Probability and Why It Counts
Significantly Different: Using Inferential Statistics
Significantly Significant: What It Means for You and Me
Only The Lonely: The One Sample Z test
t(ea) for Two: Tests 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 Nonparametric Tests
Some Other (Important) Statistical Procedures You Should Know About
A Statistical Software Sampler
Ten Things You'll Want to Know and Remember
The Ten (or More) Best Internet Sites for Statistics Stuff
The Ten Commandments of Data Collection
SPSS in Less Than 30 Minutes
Tables
Data Sets
Answers to Practice Questions
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