00:01
A truck can be determined that the distance travel per truck is normally distributed with the mean of 30 ,000 and a standard deviation of 11 ,000.
00:09
We want to complete parts a through d below.
00:12
And it's talking about the proportion of trucks expected to travel between different intervals of miles.
00:18
So what we need to do is find the z score for each one of these.
00:22
So i've kind of listed all that out.
00:24
And from reading the problem, i see down at the bottom, it wants us to repeat it for standard deviation of 8.
00:30
So what i'm going to do is find the z scores for each one of these values for 11 and for 8.
00:37
The formula for our z score is x our value minus the mean over the standard deviation.
00:43
So let me write that for the first one.
00:45
That's going to be our value which is 17 minus our mean which is 30 over a standard deviation of 11.
00:52
And then for the second one we do the same thing is that 17 minus 30 over 8.
00:59
That's going to give us our individual z scores.
01:02
I'm going to do that for each one of the values that are given here and find the z scores for 11 and 8.
01:10
I'm going to pause the video while i do that.
01:13
So i found each one of the z scores, and i want to start by doing the black z scores where the standard deviation is 11.
01:20
So let's understand what this means here.
01:22
We have our normal distribution.
01:24
We have our mean of 30.
01:26
We have a standard deviation of 11, and we want to know the number of trucks that are between 17 and 30 ,000 miles.
01:34
So we need here's 17 and here's 30.
01:37
So we need to know that proportion is going to be this area here.
01:42
And we do that by finding the values in our z score table and then and get what that will help us to find that area.
01:52
When we're looking at the next one, we want to know between 15 and 40.
01:57
So i'm going to be finding my value of 40, which is, excuse me, over here, and i would be finding the green area to get our proportion.
02:09
So now we need to find the corresponding values to the z scores on our table.
02:15
Now, i can't pull up a z score table on the screen, but there are two different tables, one for negative z values and one for positive z values.
02:27
So for those z, on that table, you need to be able to read that.
02:31
So the first one, we have a negative z value.
02:33
So i want to go to my negative z value table, and i want to find negative 1.
02:43
When i look that up, i get a value on that table of being 0 .0301.
02:48
So you need to make sure that you can look at your table and get that particular value.
02:54
So i'm going to go ahead and get all the z values in from the table...