00:01
The following is a solution for number 23, and this is a drive -through, a manager at a drive -through, is looking at the wait -time and he developed a new system and wants to see if the system is, in fact, faster.
00:10
So we're given a normal probability plot and a box plot to check for conditions for inference.
00:17
So the normal probability plot, as long as it's linear, then we can assume normality there.
00:21
And then the box plot tells us some good information.
00:23
It tells us if there are any outliers and also if there's really any heavy skew.
00:27
So if we look at that, you know, it's in your book, but also you can, can look at it a calculator you know if you i already have this set up but i mean this is just to show you so this looks you know approximately linear doesn't appear to be in a two out of line and then if we go back to stat plot here and just change this over to a a box plot where you can get outliers so we go to graph and you know that doesn't have any star so that there's no outliers maybe a slight right skew but nothing huge so we're going to assume that the conditions for reference have been met.
01:00
So the normal probability plot it is, in fact, linear, which means we can assume normality.
01:08
And then the box plot, you know, free from skewness, heavy skewness, actually, and then, and also no outliers...