00:01
So for this problem, the first thing that we need to do is figure out the probability of winning.
00:08
Probability of winning is going to be equal to the number of red pockets, 18, divided by the total number of pockets, 18 plus 18 plus 2.
00:18
So 18 plus 18 plus 2 would be...
00:21
Oh, that's left over from a previous problem.
00:23
One second here.
00:25
So that's 18 over 38 as the probability of a win.
00:29
So let's see here, 18 over 38 as a decimal is...
00:34
0 .4737 roughly.
00:37
So that means that the proportion that we would expect the gambler to win would be 47 .37%.
00:49
For part b, to find the standard deviation of the sample proportion, we'd have that sigma p hat is going to be equal to the square root of n times p times 1 minus p, where p is the probability of a win.
01:06
So square root of 50 times 0 .4737 times 1 minus 0 .4737, which gives us a standard deviation of 3 .53.
01:23
Oh, excuse me, no, i need to correct myself.
01:26
That would be the standard deviation of the number of wins.
01:28
For proportion, we would be dividing by n instead.
01:32
So 0 .4737 times 1 minus 0 .437 times 1 minus 0 .437.
01:37
437.
01:38
Over 50.
01:39
So actually our standard deviation of the proportion should be 0 .0706.
01:48
For part c, we're asked for the probability that p hat is in between 0 .3 and 0 .6.
02:00
So the way that we can find this is we can find the z score corresponding to each one of those boundaries...