What are the limitations of t-test?

The t-test has several limitations, including its assumption of normally distributed data, which can lead to inaccurate results with small sample sizes or non-normal distributions. It also assumes homogeneity of variance, meaning that the variances of the groups being compared should be similar. Additionally, the t-test is sensitive to outliers, which can skew results and affect the validity of the conclusions drawn. Finally, it only compares the means of two groups, limiting its applicability for studies involving multiple groups or complex relationships.