The validity of a T-Test depends on several assumptions:
Normal Distribution: The data should be approximately normally distributed. Homogeneity of Variance: The variances in the two groups should be similar. Independence: The observations should be independent of each other.
Violating these assumptions can lead to inaccurate results, so itâs important to check these conditions before performing a T-Test.
