SOCY 211 Lecture Notes - Lecture 8: Multivariate Normal Distribution, Null Hypothesis, Sampling Distribution

• School: Queen's University
• Department: Social Sci, Edu and Soc Work - Sociology
• Course: SOCY 211
• Professor: William Nelson

Document Summary

7. 1 correlation: correlation: describes the relationship between two (or more) numerical variables. The sample correlation coefficient (r) measures the strength and direction of the linear association between the variables. Population correlation coefficient is p: significance testing. Sample units are drawn from a bivariate normal distribution. Sample variation is not the same as the population correlation coefficient because its a subset of the population. Test for significance follows the same 4 steps as the t tests and chi square tests: step 1: state the null and alternative hypothesis. Intercept: ho: ba=a, ha: ba not = a. slopeho: bb=0, ha: bb not = 0: step 2: establish your null distribution and test statistic, step 3: conduct the statistical test, step 4: draw conclusions. Sampling distribution of the sample correlation coefficient (r) follows a t- distribution. 7. 2 linear regression i (not bivariate) (can be used as the same as single sample t tests)