WEEK 3

Non-parametric test used to assess whether a relationship exists between two categorical variables.

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

Actual frequencies seen in a contingency table.

Correction to the chi-square statistic used when the expected frequency for any cell of a contingency table is less than 10.

Non-parametric 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.

Index describing the magnitude of relationship between two dichotomous variables.

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

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

Non-parametric test used to test the difference between two independent groups based on ranked scores.

Non-parametric test used to test the differences between three or more independent groups based on ranked scores.

Non-parametric test for comparing differences in proportions when the values are derived from paired groups.

Non-parametric tests for population differences in proportions; used when the dependent variable is dichotomous and the design is within subjects.

Non-parametric test for comparing two paired groups based on the relative ranking of values between the pairs.

Non-parametric analog of ANOVA, used with paired groups or repeated measures.