Answer:
$3.20 per unit
Explanation:
In this question, we have to compare the cost between two cases
In the first case, the total cost per unit would be
= Direct materials per unit + direct labor per unit + overhead cost per unit
= $11 + $25 + $17
= $53
In the first case, the total cost per unit would be
= Purchase price + overhead cost
= $48.55 + $17 × 45%
= $48.55 + $7.65
= $56.20
So, the difference would be
= $56.20 - $53
= $3.20 per unit
The answer is customer value analysis. This is responsible
for providing information in regards with the organization’s way of how they
are able to maintain or work well with their competitions and to their
customers. This is considered to be important because it provided a basis and
comparison with the rivals existing in the organizations.
In a perfectly competitive market bell computers will cause profits to increase by producing one more.
A hypothetical market system is referred to as perfect competition. Perfect competition offers a valuable model for illustrating how supply and demand influence pricing and behaviour in a market economy, despite perfect competition seldom occurring in actual markets.
One of the most efficiently operating markets is one with perfect competition, when a large number of buyers and suppliers cooperate perfectly. Sadly, it is a hypothetical event that does not occur in the real world. But in order to guarantee a fair price for all goods and services, markets should strive to be as similar to this type of market as feasible.
Learn more about perfectly competitive market here:
brainly.com/question/13961518
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Answer:
11.14%
Explanation:
Blume's formula is used to combine both arithmetic and geometric returns. This is because using arithmetic growth rate exclusively would be overly optimistic for longer time horizons and on the other hand, using geometric growth rates exclusively would be overly pessimistic for short time horizons.
Using the attached formula, plug in the given numbers;
R(T) would be the sale growth rate we need to calculate.
R(T) = 
R(T) =0.0257 + 0.0857
R(T) = 0.1114 as a decimal
Therefore, the forecast sales growth would be 11.14%
