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SOC202H1 (21)
Chapter 15

summary for chapter 15

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University of Toronto St. George
Brent Berry

Chapter 15 Persons r correlation coefficient is the statistic we use to test the hypothesis of the existence of a relationshipw 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) 1) In general testing a hypothesis that a relationship exists between 2 interval ratio variables 2) There are two interval-ration variables 3) There are no restriction on sample size, but generally the larger the n, the better 4) A scatter plot of the coordinates of the two variables fits a linear pattern When using a sample data we must keep in mind to try and answer the following question: does a linear relationship between X and Y truly exist in the population, or is the linear pattern in this sample the result of sampling error As with any hypothesis test, the real interest lies in the parameter, the summary measurements that applies to the entire popula
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