Advanced Statistics

Analyzes three or more independent groups assuming normality.

A non-parametric test alternative to One-Way ANOVA.

Used when the same subjects are measured under three or more conditions.

A non-parametric test for repeated measures design.

Requires homogeneity of variances and independence of observations.

It measures linear correlation between two continuous variables.

Sensitive to outliers and requires interval or ratio scale variables.

Examines association between two ordinal variables with tied ranks.

Tests the relationship between two categorical variables in a contingency table.

A non-parametric test for ranked data, used when assumptions of Pearson's r are violated.