Chi-Square Procedures: Chi-Square Goodness of Fit Test

The Chi-Square Goodness of Fit Test is a statistical test used to determine whether an observed categorical data set fits a theoretical distribution. This non-parametric test is particularly helpful in examining whether the distribution of sample data aligns with what is expected based on historical or theoretical considerations. What is the Chi-Square Goodness of Fit … Read more

Explanation of the Siegel-Tukey test

Siegel-Tukey Test Overview The Siegel-Tukey Test is a non-parametric statistical test used to determine whether two independent samples have equal variability or dispersion. It’s particularly useful when the assumption of normality for the data cannot be made, making it an appropriate alternative to the F-test for homogeneity of variances. Key Characteristics of the Siegel-Tukey Test: … Read more