POLS 3650 Lecture Notes - Lecture 16: Stellar Population, Chi-Squared Distribution, Cath Database
19 Mar 2017
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Overview: bivariate statistics, bivariate statistics for nominal variables, testing statistical significance chi-square (x2, measure of association cramer"s v. Bivariate statistics: bivariate investigation of sample proceeds through 5 steps, formulate hypothesis (h1 and h0, visualize data, calculate point estimate (measure of association, conduct test of statistical significance, draw conclusions. In the following 3 lectures we will discuss bivariate statistics for nominal and ordinal variables: measures of association. Chi-square: to investigate whether the relationship between nominal variables is statistically significant, we calculate a statistic called x2, calculate the difference between our findings and what we would find if there were no relationship. Wednesday march 8th: formula - x2 = (f0 - fe)2. Which of the following statements is correct: we can use chi-square to investigate how strong the relationship. We can use chi-square to investigate whether the relationship we found in our sample also exists in the population. We can use chi-square to investigate whether the null hypothesis can be rejected.
