00:01
So to begin, for finding the f value, that is going to be the ratio of the two sample variances.
00:08
So, looking at our data, we would have s1, or s -s in this case, is 0 .199, or 199, so we have 0 .199 to the power of 2 as our numerator.
00:21
We divide by 0 .110 squared to get an f statistic of 3 .27, roughly.
00:30
Now, i don't have access to the particular table or a table value that you're looking for there.
00:39
But we can find, or what i'll do is i'll use my software here for finding the inverse cdf for...
00:49
One moment here.
00:50
Yeah, so i want to find the inverse cdf for an f -ratio distribution, where the ratios here will be the...
01:03
Or pardon me, the numerator and denominator degrees of freedom will be equal to the sample size minus 1 for the two different samples.
01:11
So f ratio distribution 5 -5.
01:13
We have sample size 6 for both s -1 and s -2, and then we want to find the probability to, this will give me the probability to the left of my result.
01:28
Oh, pardon me, no, i want to do, not inverse cdf, excuse me, that should just be cdf.
01:33
So we have a probability to the left of 0 .89, which then means that our probability to the right is 0 .197.
01:43
So because of that, we have such a large probability to the right, that means that we would be, in a hypothesis test for difference of, standard, or difference of variances, we would fail to reject the null hypothesis.
02:02
So, we would then conclude that they do not significantly differ.
02:12
So, using that then, we're asked to find the appropriate t value.
02:18
Well, since we know that our variances do not differ significantly, the way that we'll calculate our t score is that that's going to be equal to x bar 1 minus x bar 2, divided by the pooled standard deviation times the square root of 1 over n1, 1 plus 1 over n2, where the pooled standard deviation, we calculate by taking, let's see here, it's the square root of sample size 1 minus 1 times variance 1, 0 .192 squared, plus sample size 2 minus 1, so that's 5 times variance 2, 0 .11 to the power of 2, divided by n1 plus n2 minus 2.
03:06
So we have our pooled standard deviation is equal to roughly 0 .1608...