Answer
See explanation
Work Step by Step
The three reasons are:
1. The t test assumes that the data is normally distributed, but with multiple groups, this is not always the case.
2. The t test assumes that the variances of the groups are equal, but with multiple groups, this is not always the case.
3. The t test assumes that the groups are independent, but with multiple groups, this is not always the case.