SOC202H1 Chapter 15: summary for chapter 15
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person"s r correlation coefficient is the statistic we use to test the hypothesis of the existence of a relationship/w 2 interval ratio variables, an independent variable x and a dependent of y. when to test a hypothesise using bivariate correlation and regression analysis (t- distribution, df n-2) as with any hypothesis test, the real interest lies in the parameter, the summary measurements that applies to the entire population. person"s r correlation coefficient allows us to test a hypothesise to answer this question. For the population the corresponding parameter is symbolized by the greek letter rho (p)- it is the correlation coefficient that would be obtained if person"s correlation coefficient were computed for the entire population. The effect of the test is the difference between an observed sample statistic and the expected parameter when the null hypothesis is true.
