00:01
All right, your picture shows two questions, so let's start with question d, which is an analysis of wages paid to employees for two different organizations, x and y.
00:10
In part one, you're to determine which organization pays a larger amount as monthly wages.
00:17
So we're going to say organization x, total amount paid would be the number of wage earners times the average monthly wages received, which is the 5 ,000.
00:37
And if you multiply those two, you end up with 2 ,750 ,000.
00:45
And that would represent the total monthly wages for organization x.
00:51
Organization y, we would take the number of earners, which is 650, times the average received per earner, which is the 4 ,500, and that works out to be 2 ,925 ,000.
01:12
So to answer the question, which organization pays a larger amount in monthly wages, organization y pays a higher amount.
01:29
And really that question should say total amount of wages.
01:43
All right, moving on to the second part of question d.
01:46
This question says, in which organization is there a greater variability in the individual wages of all the wage earners taken together? for that, we want to compare the two variance numbers that are given.
01:59
Variance represents the amount of variability we see in the data.
02:03
So we would say since organization y has a higher variance, organization y shows greater variability in individual wages.
02:45
So that is just a comparison problem.
02:48
We just needed to compare the given variances, and we can see y had a greater, that might have been 1 ,600.
02:54
It's tough to tell from your picture.
02:56
Either way, i think it is a 1 ,600.
02:59
Either way, it's a larger variance than organization x.
03:06
You want to take that whole highlighted thing as your answer.
03:11
All right, moving on to question e.
03:14
I'm not sure if you're actually asking this question or not, considering d is in the picture as well.
03:20
But i think letter e has a mistake in it, and i'm going to explain that mistake and show you what i believe the answer should be given that mistake.
03:29
All right, so we're told we had a mean for the number of loaves of bread for production level, at 119 ,398...