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Chapter 23- Statistical Analysis of Relationships: The Basics

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What is correlation?   the value an individual exhibits o one variable is related to the value he or she exhibits on another variable; CORRELATION IS NOT CAUSATION  
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What is the most frequently used correlation coefficient?   the Pearson product moment correlation  
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What are the other correlation coefficients?   Spearman's rho and Kendall's tau used with ranked or ordinal #s; phi, Cramer's V, and kappa used for nominal data  
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What are the major assumptions of correlation coefficients?   1 relationships between variables are assumed to be linear, 2 homoscedasticity, 3 both variables have enough variability to demonstrate a relationship  
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How are correlation coefficients interpreted?   1 the strength of the coefficient itself, 2 the variance shared by the two variables, 3 the statistical significance of the correlation coefficient, 4 the confidence intervals about the correlation coefficient  
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