Depending on how many could have taken the survey, it would be a random sample of the population of triathletes. However, if these surveys were conducted at a single event that was in an area where only a small range or area of triathletes attended, it may not be a good random sample.
Answer / Explanation:
First, we need to understand what variance analysis is. Variance analysis is the qualitative and quantitative measure of the difference between actual financial value and the budgeted financial value.
This helps us to properly monitor our rate of spending against our profit or loss margin. it also assist in proper fund management.
Now talking about how the company will utilize variance analysis, the company will utilize variance analysis in the aspect of fixed over head spending. In the sense that it will be used to measure manpower productivity against overhead spending. This will help us to proper affirm if the rate of manpower productivity equal fixed overhead spending. In the case where fixed overhead spending is more than man hour productivity ratio, then the company will be running at a loss. This is basically a way of measuring productivity performance of man power and also assets.
It would make you $7,500
because banks usually pay a person $0.03 for every dollar
250,000 times .03 equals 7,500
Answer:
Amount investment in Sock Y = - $126,000
Beta of portfolio = 1.636
Explanation:
Data provided in the question:
Total amount to be invested = $140,000
Stock X Y
Expected return 14% 10%
Beta 1.42 1.18
Expected return of portfolio = 17.6%
Now,
let the weight invested n stock X be W
therefore,
Weight of Stock Y = 1 - W
thus,
( W × 14% ) + (1 - w) × 10% = 17.6
%
or
14W + 10% - 10W = 17.6%
or
4W = 7.6
or
W = 1.9
Therefore,
weight of Y = 1 - 1.9 = -0.9
Thus,
Amount investment in Sock Y = Total amount to be invested × Weight
= 140,000 × ( - 0.9 )
= - $126,000 i.e short Y
Beta of portfolio = ∑ (Beta × Weight)
= [ 1.42 × 1.9 ] + [ 1.18 × (-0.9) ]
= 2.698 - 1.062
= 1.636
Answer:
Following are the solution to this question:
Explanation:
Please find the complete question in the attachment file.
Applied to fixed overhead
Overhead fixed by DL hr. 
DL hours standard 
Application of fixed overhead 
Variance in volume
Application of total fixed overhead 
Fixed total estimates Superfast 
Variance of volume 
