WEEK 3
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Nonparametric test used to assess whether a relationship exists between two categorical variables.
Chisquare test of independence

Frequencies expected for a contingency table if the null hypothesis of no relationship between variables is true.
Expected frequencies

Actual frequencies seen in a contingency table.
Observed frequencies

Correction to the chisquare statistic used when the expected frequency for any cell of a contingency table is less than 10.
Yates’ correction

Nonparametric procedure to test the significance of the difference in proportion; used when any expected cell frequency is less than 5 or a cell has no observations; can only be used with a 2X2 table.
Fisher’s exact test

Index describing the magnitude of relationship between two dichotomous variables.
Phi coefficient

Index describing the magnitude of relationship between nominal variables when the contingency table is bigger than 2X2.
Cramer’s V

Test to determine the fit of the data to hypothesized population values or a hypothesized model.
Chisquare goodness of fit test

Nonparametric test used to test the difference between two independent groups based on ranked scores.
MannWhitney Utest

Nonparametric test used to test the differences between three or more independent groups based on ranked scores.
KruskalWallis test

Nonparametric test for comparing differences in proportions when the values are derived from paired groups.
McNemar test

Nonparametric tests for population differences in proportions; used when the dependent variable is dichotomous and the design is within subjects.
Cochran’s Q test

Nonparametric test for comparing two paired groups based on the relative ranking of values between the pairs.
Wilcoxon signed ranks test

Nonparametric analog of ANOVA, used with paired groups or repeated measures.
Friedman test