In order to determine whether or not a driver’s education course improves the scores on a driving test, a sample of 6 students were given the test before and after taking the course. The results are shown below.
Let d = Score after – Score before.
Student Before the Course After the Course
1 83 87
2 89 88
3 93 91
4 77 77
5 86 93
6 79 83
Use α = 0.1 and test to see if taking the course actually increased scores on the driving test.
Reject or do not reject Ho?
Here, we have to use paired t test.
The null and alternative hypotheses for this test are given as below:
Null hypothesis: H0: taking the course actually does not increased scores on the driving test.
Alternative hypothesis: Ha: taking the course actually increased scores on the driving test.
H0: µd = 0 versus Ha: µd > 0
This is a right tailed test.
We take difference as after minus before.
Test statistic for paired t test is given as below:
t = (Dbar - µd)/[Sd/sqrt(n)]
From given data, we have
µd = 0
Dbar = 2
Sd = 3.5214
n = 6
df = n – 1 = 5
α = 0.01
t = (Dbar - µd)/[Sd/sqrt(n)]
t = (2 - 0)/[ 3.5214/sqrt(6)]
t = 1.3912
The p-value by using t-table is given as below:
P-value = 0.1114
P-value > α = 0.01
So, we do not reject the null hypothesis
There is not sufficient evidence to conclude that taking the course actually increased scores on the driving test.
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