00:01
So we want to find out if there's a difference between the means of these two groups in vocabulary.
00:06
And we're going to assume that they're equal, and alternately they're not equal.
00:13
And we have both of our sample sizes are 30 from both groups, and they're random.
00:20
Therefore, that sample size is sufficient, and they're independent.
00:23
So this is sufficient to perform this, and we will be doing a two sample t test.
00:31
Since we don't know the population standard deviations.
00:35
And we're assuming that the difference between these means, sorry that should dip down, that these difference between these two means is zero.
00:44
And we're finding the difference between the two to be the, and let me arrow up here so i can see my mean, 344 .5 minus the 354 .2 .2.
01:01
So that looks like a difference of, if we subtract this way, 354 .2, that looks like we're going to have a difference of 9 .7 negative.
01:15
So that difference is down here.
01:20
And if we are assuming that is a two -tale test, a difference of positive 9 .7 is just as likely.
01:28
And the sum of these two is my p value.
01:30
So let's calculate our test statistic.
01:33
We're going to take what we got for the difference, the difference between these two minus what we're assuming, and then divided by the square root of.
01:41
And we have 49 .1 squared divided by the sample size of 30, and the 50 .9 squared divided by the sample size of 30.
01:53
Now, conservatively, we would use 29 degrees of freedom.
01:58
And i'll tell you what the software tells us in just a second.
02:05
And when we calculate this, we get the test statistic to be negative 0 .7512.
02:12
And this is not, it means i put these values further away than they should be.
02:18
They should be closer to zero...