After you run the t-test, answer these questions (type responses in this box):
1. What is the p-value (the significance)?
2. Is the difference between the mean age first diagnosed for males and females statistically significant?
Independent Samples t-TEST | |
Age First Diagnosed | |
Male | Female |
25 | 33 |
35 | 32 |
34 | 45 |
22 | 44 |
34 | 21 |
21 | 33 |
21 | 29 |
18 | 30 |
43 | 31 |
28 | 28 |
29 | 44 |
32 | 54 |
41 | 32 |
25 | 39 |
30 | 36 |
19 | 50 |
15 | 21 |
18 | 37 |
32 | 42 |
33 | 40 |
41 | 39 |
32 | 41 |
21 | 32 |
19 | 27 |
16 | 25 |
27 | 19 |
33 | 18 |
41 | 49 |
12 | 35 |
Independent samples t-Test was performed using MS Excel. The test has been performed using equal variance. Following is the output:
Answer a)
From the result above, it can seen that the p-value (the significance) is 0.0035
Answer b)
Since p-value = 0.0035 < 0.05 significance level, we reject null hypothesis.
Thus, the difference between the mean age first diagnosed for males and females is statistically significant.
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