Below are two sets of gain scores of two different groups.
I know that there is a statistical significance between the two when running an independent t-test; I already have this data set.
I need to know whether one group has a statistical significance of benefiting more or is more beneficial than the other.
I know this would be a one tailed t-test. However, I’m unsure how to perform this or interpret the data.
Group 1 |
Group 2 |
Gain Score |
Gain Score |
19.685 |
7.62 |
22.86 |
-2.54 |
10.16 |
5.08 |
21.273 |
-5.08 |
8.255 |
7.62 |
3.81 |
2.54 |
11.43 |
17.78 |
-2.54 |
10.16 |
5.08 |
0 |
10.16 |
5.08 |
0 |
13.97 |
1.27 |
-1.27 |
9.208 |
7.62 |
0 |
-22.86 |
16.51 |
-12.7 |
Let us denote the difference
d : Gain score in Group 1 - Gain score in Group 2
To test against
Here
sample mean of difference
sample standard deviation of difference
and sample size n = 15
The test statistic can be written as
which under H0 follows a t distribution with n-1 df.
We reject H0 at 5% level of significance if P-value < 0.05
Now,
The value of the test statistic
P-value
Since P-value < 0.05, so we reject H0 at 5% level of significance and we can conclude that mean in Gain score for Group 1 is significantly greater than that of for Group 2.
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