The following table is obtained:
Friday | Monday | Difference = Friday - Monday | |
75 | 80 | -5 | |
83 | 80 | 3 | |
78 | 75 | 3 | |
93 | 88 | 5 | |
65 | 65 | 0 | |
75 | 73 | 2 | |
90 | 91 | -1 | |
80 | 85 | -5 | |
100 | 95 | 5 | |
81 | 93 | -12 | |
68 | 72 | -4 | |
90 | 86 | 4 | |
Average | 81.5 | 81.917 | -0.417 |
St. Dev. | 10.335 | 9.337 | 5.195 |
n | 12 | 12 | 12 |
For the score difference
Mean, = -0.417
Sample standard deviation, = 5.195
= 0.1
a) At = 0.1 amd df = 12-1 =11, critical value, = 1.796
90% confidence interval for the mean of all differences
b) Given the exams on Monday helps increasing exam result mean: Friday - Monday < 0
Null and Alternative Hypotheses
This corresponds to a left-tailed test, for which a t-test for two paired samples be used.
c) One tailed critical value, tc = −1.363
d) Test Statistics
P-value = 0.6068
e) Conclusion
As P= 0.6068 > 0.1 we fail to reject the null hypothesis.
There is not enough evidence to claim that Monday helps increasing exam results, at the 0.1 significance level.
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