STA 2122 Lecture Notes - Lecture 10: Analysis Of Variance, Dependent And Independent Variables
Document Summary
Final exam: mostly the second half of chapter 15 and all of chapter 17. Three important questions about relationships between variables: how strong is the relationship? (chapter 13 & 14, what is the direction of association? (scale, is the relationship statistically significant, chi-square, t-test, anova. Test of significance: allows us to estimate the likelihood that our findings in a sample actually exists in the population, as opposed to being due to chance or sampling error. 01 or under are generally considered highly statistically significant. Significance and association: the stronger the association the more likely that the association will be judged statistically significant to say, the association is unlikely to be a product of sampling error. T-tests: 1 scale and 1 categorical (nominal, best suited for scale-level dependent variable, 2 category independent variable. Independent samples (or two sample) t-test : calculates the probability that the difference in means results from sampling error, comparing two groups means.
