Z-Test vs. Chi-Square: When to Use Each Statistical Test
Z-Test compares a sample mean to a known population mean when data are continuous and the variance is known; Chi-Square tests whether two categorical variables are independent by comparing observed versus expected counts. People confuse them because both evaluate “significance,” but one deals with averages of numbers (heights, dollars) and the other with counts of…