Students at the local high school are given the SAT in their freshman year. They are given the same test again as seniors. Their scores on the math section are listed below. It is reasoable to assume that the population variances are equal.
Freshmen | Seniors |
736 | 519 |
681 | 601 |
497 | 421 |
565 | 478 |
557 | 585 |
546 | 409 |
517 | 712 |
697 | 708 |
414 | 664 |
569 | 484 |
612 | 511 |
648 | 429 |
A:What are the hypotheses if you want to test whether or not high school has helped prepare these students for the SAT?
b | What is the value of the test statistic and p-value? |
c | What are your conclusions at the 5% significance level? |
The statistical software output for this problem is :
Two sample T hypothesis test:
μ1 : Mean of Freshmen
μ2 : Mean of Seniors
μ1 - μ2 : Difference between two means
H0 : μ1 - μ2 = 0
HA : μ1 - μ2 ≠ 0
(with pooled variances)
Hypothesis test results:
Difference | Sample Diff. | Std. Err. | DF | T-Stat | P-value |
---|---|---|---|---|---|
μ1 - μ2 | 43.166667 | 41.239676 | 22 | 1.0467266 | 0.3066 |
Test statistics = 1.047
P-value = 0.3066
At 5% significance level fail to reject the null hypothesis .
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