00:01
You're given three sets of data.
00:01
You're given if the spoiler was given.
00:04
You know that the sample size is 12 and that the mean was 6 .22 with a standard deviation of 1 .22.
00:13
And you're given the original version, which didn't have the spoiler.
00:17
And that was, again, sample size of 12 with a mean of 5 .73 and a standard deviation of 1 .26.
00:26
And then you're given a difference.
00:31
So this difference would have been that the spoiler, it's kind of like you had a score for one particular reading, and you had a spoiler, and you had the original, and you knew what the score was here and what the score was here, and then you'd be finding a difference between those scores.
00:48
And the mean of all of these differences comes out to be 0 .49, and the standard deviation comes out to be 0 .35.
00:59
And the question is, is what type of analysis? do i do a two sample t test to look at the differences between these two? or do i do a one sample t test? and the answer is, you do a one sample t test.
01:22
These two are not independent.
01:27
In order to do a two sample t test, these both have to be independent samples.
01:31
So we cannot do this technique.
01:33
We must do this.
01:35
So we would be assuming that the mean difference is equal to zero, and alternately it just wants to find out if there's a difference...