Answer:
$40
Explanation:
The computation of the premium pay for the next year is shown below:
= Estimated medical bills × given percentage for next year
= $4,000 × 1 %
= $40
By multiplying the estimated value of medical bills with the next year given percentage, the premium for the next year can come
All other information that is given in the question is not relevant. Hence, ignored it
Answer: Critical Design Review
Explanation:
A Critical Design Review is referred to as a review that's fine in order o ensure that a system can be able to move into fabrication, and test and also ensure that the stated performance requirements are met.
The approved detail design resulting from the critical design review serves as a basis for making the decision to begin production.
Answer:
no option is correct, check the question to see if it was copied correctly and check the work to verify my answer
$1,430
Explanation:
worst case scenario:
2,500 units sold at $16 = $40,000
variable cost per unit $14 x 2,500 units = $35,000
contribution margin = $5,000
fixed costs = $8,500
depreciation expense = $11,000
cash flow = [(contribution margin - fixed costs - depreciation) x (1 - tax rate)] + depreciation
cash flow = [($5,000 - $8,500 - $11,000) x 0.66] + $11,000 = $1,430
Could the answer be advertisements
Answer:
They should operate Mine 1 for 1 hour and Mine 2 for 3 hours to meet the contractual obligations and minimize cost.
Explanation:
The formulation of the linear programming is:
Objective function:

Restrictions:
- High-grade ore: 
- Medium-grade ore: 
- Low-grade ore: 
- No negative hours: 
We start graphing the restrictions in a M1-M2 plane.
In the figure attached, we have the feasible region, where all the restrictions are validated, and the four points of intersection of 2 restrictions.
In one of this four points lies the minimum cost.
Graphically, we can graph the cost function over this feasible region, with different cost levels. When the line cost intersects one of the four points with the lowest level of cost, this is the optimum combination.
(NOTE: it is best to start with a low guessing of the cost and going up until it reaches one point in the feasible region).
The solution is for the point (M1=1, M2=3), with a cost of C=$680.
The cost function graph is attached.