00:01
We're looking at a normal distribution, so i'll start by drawing it.
00:04
These are the check -in times.
00:09
The mean, mu, is 12, standard deviation, sigma is 2.
00:15
And for part i, we want the probability that the check -in time is greater than 14 minutes.
00:22
So 14 is above the mean, i'll mark it on here.
00:25
We want greater than, so that's anything on the right.
00:28
So with the normal distribution, we don't use raw values, we turn them into z scores.
00:35
Z is x minus mu over sigma.
00:39
So the z score for 14 is 14 minus 12 over 2, 1.
00:45
That means it is one standard deviation above the mean.
00:49
Now to turn it into probability, you need either a z score table, a graphical calculator, or something like excel, anything with the normal functions baked into it.
00:57
And there are two such functions, you can use either one, standard and cumulative.
01:04
The standard function gives you the area between x and mu, your cutoff and the mean.
01:14
So this isn't quite what you want, but the area to the right of the mean is 0 .5, to the left the mean is 0 .5, because this is symmetric.
01:23
So if you take this away from 0 .5, you get your answer.
01:27
Cumulative gives you the area to the left.
01:31
So that's all of this.
01:33
Also not what you want, but if you take it away from one, total area under a probability curve, you have your answer.
01:40
I'll use standard, so whatever i get, taking away from 0 .5.
01:44
So i put in 1, i get 0 .3, 4 ,13.
01:51
So my answer is 0 .1587.
01:56
So that's part 1.
01:58
Part 2 is between 10 and 15.
02:02
So i'm just going to redraw this.
02:08
So 10 is below the mean, 15 is above.
02:11
So we have a cutoff point here and here...