This link has been bookmarked by 15 people . It was first bookmarked on 01 Aug 2006, by Steven Van Vooren.
-
02 Feb 10
-
28 Apr 08
-
30 Mar 08
-
13 Jan 08
-
15 Oct 06
-
You also need to determine the degrees of freedom (df) for the test. In the t-test, the degrees of freedom is the sum of the persons in both groups minus 2.
-
set the alpha level at .05.
-
a risk level (called the alpha level).
-
Once you compute the t-value you have to look it up in a table of significance to test whether the ratio is large enough to say that the difference between the groups is not likely to have been a chance finding.
-
The t-value will be positive if the first mean is larger than the second and negative if it is smaller.
-
the standard error of the difference.
-
This formula is essentially another example of the signal-to-noise metaphor in research
-
This leads us to a very important conclusion: when we are looking at the differences between scores for two groups, we have to judge the difference between their means relative to the spread or variability of their scores.
-
Clearly, we would conclude that the two groups appear most different or distinct in the bottom or low-variability case.
-
the difference between the means is the same in all three.
-
he t-test assesses whether the means of two groups are statistically different from each other.
-
-
03 Mar 06
-
20 Feb 06
-
12 Dec 05
-
18 Jul 05
Would you like to comment?
Join Diigo for a free account, or sign in if you are already a member.