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Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
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McNemar Test
The McNemar Test is a statistical test used to determine if the proportions of categories in two related groups 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.
Chi-Square Goodness Of Fit Test
The Chi-Square Goodness Of Fit Test is a test used to determine if the proportions of categories in a qualitative variable differ from expected proportions.
One-Proportion Z-Test
The One-Proportion Z-Test is used to determine if the proportions of categories in a single qualitative variable differ from an expected proportion.
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.
Split Plot ANOVA
The Split Plot ANOVA is a statistical test used to determine if 2 or more repeated measures from 2 or more groups are significantly different from each other on your variable of interest.
Friedman Test
The Friedman Test is a test used to determine if 3 or more measurements from the same group are different from each other on a skewed 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 Repeated Measures ANOVA
One-Way Repeated Measures ANOVA is a test used to determine if 3+ related groups are significantly different from each other on a 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.
