M.9—Chi-squared test and t-test

Chi-squared compares observed and expected categories; a t-test compares means under suitable assumptions.

Calculate degrees of freedom, compare the probability with the significance level and state the biological decision.

Rejecting the null for a chi-squared test means the observed categories differ from expectation; it does not identify the mechanism.

A significant result does not show that the effect is large or biologically useful.