In: Statistics and Probability
Fifteen students from Poppy High School were accepted at Branch
University. Of those students, six were offered academic
scholarships and nine were not. Mrs. Bergen believes Branch
University may be accepting students with lower ACT scores if they
have an academic scholarship. The newly accepted student ACT scores
are shown here.
Academic scholarship: 25, 24, 23, 21, 22, 20
No academic scholarship: 23, 25, 30, 32, 29, 26, 27, 29, 27
Part A: Do these data provide convincing evidence
of a difference in ACT scores between students with and without an
academic scholarship? Carry out an appropriate test at the α = 0.02
significance level. (5 points)
Part B: Create and interpret a 98% confidence
interval for the difference in the ACT scores between students with
and without an academic scholarship. (5 points)
For academic scholarship
= 22.5, s1 = 1.87, n1 = 6
For no academic scholarship
= 27.56, s2 = 2.74, n2 = 9
A) H0:
H1:
The test statistic
At alpha = 0.02, the critical values are +/- t0.01 = +/- 2.681
Since the test statistic value is less than the lower critical value (-4.25 < -2.681), so we should reject the null hypothesis.
At 0.05 significance level, there is sufficient evidence to conclude that a difference in ACT scores between students with and without an academic scholarship.
B) At 98% confidence level, the critical value is t* = 2.681
The 98% confidence interval is
() +/- t* * sqrt(s1^2/n1 + s2^2/n2)
= (22.5 - 27.56) +/- 2.681 * sqrt((1.87)^2/6 + (2.74)^2/9)
= -5.06 +/- 3.19
= -8.25, -1.87
We are 98% confidence that the true difference in the ACT scores between students with and without an academic scholarship lies in the above confidence interval.