PSYC 202 Chapter Notes - Chapter 9: Chi-Squared Distribution, Alternative Hypothesis, Ellipse
4 Dec 2017
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How to determine what stat test to use. Correlations & how to do significance testing for correlation coefficients. Correlations: used to describe the relationship bw 2 (or more) numerical variables. Key assumption of hypothesis testing: both numerical variables have uncertainty (the amount of variation you find in one is comparable to the amount of variation you find in the other) The distinction bw correlation & linear regression correlation explores a relationship bw 2 variables whereas linear regression uses one to predict the other. The sample correlation coefficient ( r ) measures the strength & direction of the linear association bw variables. Population correlation coefficient is p (pronounced row ) is the fixed thing ( we don"t know. ) but we are trying to estimate, whereas the sample correlation coefficient comes directly from the data we"ve collected. Think of sample correlation coefficient as being a descriptive stat for the associations bw your.
