In: Statistics and Probability
A student wants to prove that a GMAT prep company's claim that attending its 10-session prep course raises students' scores on the GMAT by an average of at least 50 points is false. In order to test the claim, they take eight students who have previously taken the GMAT and have them complete the 10 sessions. After completion, the students retake the GMAT and their scores are recorded. Test the theory at a 1% level of significance, using the paired difference test. You may assume that the differences in scores are normally distributed.
Student | Before | After |
1 | 580 | 652 |
2 | 565 | 585 |
3 | 521 | 543 |
4 | 512 | 567 |
5 | 563 | 564 |
6 | 544 | 592 |
7 | 604 | 665 |
8 | 693 | 684 |
9 | 631 | 654 |
Solution:
Here, we have to use paired t test.
The null and alternative hypotheses for this test are given as below:
H0: µd ≥ 50 versus Ha: µd < 50
This is a lower tailed test.
Test statistic for paired t test is given as below:
t = (Dbar - µd)/[Sd/sqrt(n)]
From given data, we have
Dbar = 32.5556
Sd = 27.8169
n = 9
df = n – 1 = 8
α = 0.01
t = (Dbar - µd)/[Sd/sqrt(n)]
t = (32.5556 – 50)/[ 27.8169/sqrt(9)]
t = -1.8814
The p-value by using t-table is given as below:
P-value = 0.0484
P-value > α = 0.01
So, we do not reject the null hypothesis
There is sufficient evidence to conclude that attending its 10-session prep course raises students' scores on the GMAT by an average of at least 50 points is not false.