00:01
So in this question, we are looking at a normal distribution.
00:03
I will start by drawing it.
00:10
Total area under this curve is one, and it's symmetric.
00:13
So half of these refrigerators last.
00:17
Less time, mean, half more.
00:20
So we know the mean mu is 14.
00:24
We don't know the standard deviation.
00:27
Okay, we need to find it in part a.
00:31
So we have an additional piece of information.
00:33
95 % last between 9, which is below the mean, and 19, which is above the mean.
00:40
So this interval here makes up 95%.
00:46
So how do we go about finding sigma? well, i need to make a link between these cutoff points and their z scores.
00:54
So i know the probability, i'm going to turn it into a z score.
00:59
And z score tells me how many standard deviations away from a mean these values are.
01:04
But notice, both of them are five away from.
01:07
From a mean.
01:09
They're the same distance away from a mean.
01:11
So if this interval is symmetric, each half represents 47 .5 % of fridges.
01:18
So same distance, they're going to be the same number of standard deviations away from the mean.
01:23
They're going to have the same z score.
01:24
One is positive, one is negative.
01:27
So for this step, i use the inverse normal function in the dot norm.
01:33
This is a cumulative function.
01:39
You can find it on excel, r, your graphical calculator.
01:42
So it takes you from area to the left to the corresponding z score.
01:48
And i know that z is plus and minus something.
01:52
Well, if i know that this is all symmetric, so this bit is 47 .5%.
02:00
I know that this bit is 2 .5 % of fridges.
02:05
2 .5 % lasts less than 9, 2 .5 % lasts longer than 19 years.
02:09
This is only true because this interval is symmetric.
02:12
So i'm just going to throw in nought points, 025, and it will get me z.
02:22
So z is plus and minus 1 .960, three decimal places.
02:31
Great.
02:32
So this value is 1 .96 standard deviations above the mean.
02:36
This is 1 .96 standard deviations below the mean.
02:40
Or if i write this another way, 19 is the mean plus 1 .96...