StatsTest Blog
Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
Chi-Square Test of Independence
The Chi-Square Test of Independence is a test used to determine if the proportions of categories in two group variables differ from each other.
Fisher's Exact Test
Fisher's Exact Test is a statistical test used to determine if the proportions of categories in two group variables significantly differ from each other.
G-Test
The G-Test is a test used to determine if the proportions of categories in two group variables significantly differ from each other.
Two Proportion Z-Test
The Two-Proportion Z-Test is a test used to determine if the proportions of categories in two group variables differ from each other.
One-Way ANCOVA
The One-Way ANCOVA is a test used to determine if 3+ groups are different from each other on your variable of interest in the presence of a covariate.
Factorial ANOVA
The Factorial ANOVA is a test used to determine if two or more sets of groups are significantly different from each other on your variable of interest.
Kruskal-Wallis One-Way ANOVA
The Kruskal-Wallis One-Way ANOVA is a test used to determine if 3+ groups are different from each other on a skewed variable of interest.
One-Way ANOVA
The One-Way ANOVA is a statistical test used to determine if 3 or more groups are significantly different from each other on a variable of interest.
Mann-Whitney U Test
The Mann-Whitney U Test compares two different groups on your variable of interest (dependent variable) when your variable of interest is skewed.
Independent Samples Z-Test
An independent samples z-test is used to determine if 2 groups are significantly different from each other on your variable of interest.
Independent Samples T-Test
You should use an independent samples t-test to determine if 2 groups are significantly different from each other on your variable of interest.