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Experimental design, data analysis, and statistical tooling for modern teams. No hype, just the math.
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Partial Correlation
Partial Correlation is used to examine the relationship between two continuous variables while accounting for the effects of one or more other variables.
Pearson Correlation
Pearson Correlation is used to measure the relationship between two continuous variables when they are not skewed, ordinal, and don't have outliers.
Phi Coefficient
The Phi Coefficient can be used to determine the strength of the relationship between two binary variables.
Point-Biserial Correlation
Point biserial correlation is used to measure the relationship between two variables when one variable is binary and the other is continuous.
Spearman's Rho
Spearman's Rho measures the relationship between two variables when one or more of the variables is ordinal, non-linear, skewed, or has outliers.
Log-Linear Analysis
Log-Linear Analysis is a test used to determine if the proportions of categories in two+ group variables significantly differ from each other.
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.
Exact Test of Goodness of Fit (multinomial model)
The multinomial exact test is a test used to determine if the proportions of categories in a single qualitative variable differ from an expected proportion.
Exact Test of Goodness of Fit
The Exact Test of Goodness of Fit is used to determine if the proportions of categories in a single qualitative variable differ from an expected proportion.
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 of Goodness of Fit
The G-Test of Goodness of Fit is used to determine if the proportions of categories in a single qualitative variable differ from an expected proportion.
