00:01
Now here in this question, you look at the rent in the city, right? now the question says that the rent in the city follows a normal distribution.
00:11
So suppose x denotes the rent and then follows a normal distribution with a mean, which is 1 ,500 and the standard deviation 250.
00:23
Now you ask a few questions, right? the first question to ask you, what percentage of rent are between 1 to 50? and 1 ,750.
00:32
So basically, you ask the percentage for x less than 1 ,750, and larger than 1 ,250, right? well, if you look at the distribution of x, we know that it follows a standard normal distribution, which is a bare -shaped and symmetric, right? so i do not do it pretty well, let me do it better, something like this, right? and the average is somewhere here, right? 1 500, and then 1 -250 is somewhere here.
01:07
1 -750 must be somewhere here.
01:10
So you ask the percentage which of course is given by the area if between these two endpoints under this curve.
01:17
Well, if you denote the area, which is here by alpha, and you can see that because these two end points actually once 250 and it's 1 ,750, actually this to end up, 50, endpoints are symmetric about the mean value.
01:34
So you can see that this area is also alpha, right? now this blue area, and course, which is the percentage is 1 minus 2 alpha, right? so the result is 1 minus 2 alpha.
01:45
Now you need to find all of our.
01:46
Well, the alpha is basically the d score, right? you can find out of our from the d score.
01:53
Now the d squared alpha is simply given by 1 ,500 minus 1 ,250, divided by the standard deviation, which is 250.
02:02
Now, actually, that's actually wrong, right? and you need to look up with the z table to find this alpha value...