BST 322 Week 3 Test Questions with Correct Answers

BST 322 Week 3 Test Questions with Correct Answers chi-square test of independence - Answer-- basic non-parametric test - determine if two categorical variables are independent; basically if they have a relationship - compares the observed and expected cell frequencies of a contingency table expected frequencies - Answer-- we would expect to see if the subjects were distributed through the table randomly observed frequencies - Answer-- those counts we literally got in the course of some research Yate's correction - Answer-- a variation on the chi-square test when the expected cell frequency in any cell in a 2x2 table Fisher's exact test - Answer-- a variation on the chi-square test - only used on a 2x2 table Phi coefficient - Answer-the correlation coefficient used when both measured variables are dichotomous and nominal Cramer's V - Answer-- way of calculating correlation in tables which have more than 2x2 rows and columns - post-test to determine strengths of association after chi-square has determined significance chi-square goodness of fit test - Answer-- analogous to the one-sample t-test and is performed when you wish to see if your distribution of categorical variables matches that of a known population Mann-Whitney U-test - Answer-- used when the dependent variable is ordinal and is the analog of the independent groups t-test Kruskal-Wallis test - Answer-- the non-parametric counterpart to the simple ANOVA, involves ranking, and should be used only when there are at least five cases per group McNemar test - Answer-- the chi-square analog to the paired t-test - subjects are related in some way Cochran's Q test - Answer-- the non-parametric analog of RANOVA - used to test for differences in proportion when the dependent variables is dichotomous and there are three or more repeated observations or correlated groups Wilcoxon signed ranks test - Answer-- the non-parametric counterpart to the paired (dependent groups) t-test - ranking the differences in scores between the pairs of subjects Friedman test - Answer-- analog of RANOVA - used when the dependent variable is ordinal parametric test - Answer--used when we make a generalization about at least one parameter and infer back tot he population from our sample - more powerful than their counterparts - these include t-tests and ANOVA non-parametric tests - Answer-- not used to deal with hypotheses about population parameters, nor do they require normal distributions - can be used with all levels of measurement - i.e. chi-square test