Choosing the appropriate statistical test depends on several factors:
The type of data (categorical or continuous). The number of groups being compared. Whether the data meets certain assumptions (e.g., normality, homogeneity of variance).
For example, if you are comparing the means of two independent groups with normally distributed data, a t-test would be appropriate. However, if comparing more than two groups, ANOVA would be more suitable.
