Answer:
Correct option:
A paired t-test should be performed instead of a two-sample t-test when each observation in one group has a dependence on a particular observation in the other group.
Explanation:
The paired t-test (also known as the dependent t-test or paired sample t-test) compares the two means associated groups to conclude if there is a statistically significant difference amid these two means.
We use the paired t-test if we have two measurements on the same item, person or thing. We should also use this test if we have two items that are being measured with a unique condition.
For instance, an experimenter tests the effect of a medicine on a group of patients before and after giving the doses.
Or, examining the effect of a special course of calculus on the students by collecting their scores before and after the course.
In a paired t-test every observation of one group is related to a specific observation on the other groups.
Consider the second example provided above.
Suppose student A received a 50 in the calculus test before the special course and a 80 after the special course. This implies that the score of students A in group 1 (before course group) is related to the score of student A in group 2 (after course group).
Thus, the correct option is:
"A paired t-test should be performed instead of a two-sample t-test when each observation in one group has a dependence on a particular observation in the other group."