00:01
Okay, so i answered the question.
00:05
I did it very quickly.
00:07
But just to summarize, what we did is we wrote out all samples of size 2.
00:21
Okay, and that's just, and i think, you know, we accounted for 16 different ways that you can get a sample with four items, taking two of them.
00:38
We calculated x bar for each sample for each sample we found the associated probability of getting that sample and that gives us what we need to construct a distribution possible outcomes and the probability of seeing that outcome and then we did it for r we had all the the the, so we had all of the outcomes for various samples of size two, we had the probability of the outcome, what we didn't have was the range, so at the very, you know, so i quickly summarized what the range would be, and it took on values between one, whatever, i'm just making this up, and if i didn't make it clear, all we need to do to summarize the distribution for r is to write out just one time the values of r and then add up all the probabilities that you know r can take on that value so it would be this one and this one whatever right probability here that r equals though it would be this one and this one okay so that gives you the other distribution and then finally you're asked to come up with a distribution for sample size of four and and i can't think of an easy way around this.
02:19
It's just going to be enumerating, you know, rather than 16.
02:26
There's going to be 256 possible samples.
02:35
And i don't know how to make that easy for you...