Answer:
Material cost per unit = $3.64
Conversion cost per unit = $4.59
Manufacturing cost per unit = $8.23
Explanation:
1. Calculate the unit cost for materials:
Material cost per unit = 
Material cost per unit = $3.64
2. Calculate the unit cost for conversion costs:
Conversion cost per unit = 
Conversion cost per unit = 4.59
3. Calculate the total manufacturing costs:
Manufacturing cost per unit = Material cost per unit + Conversion cost per unit
Manufacturing cost per unit = $3.64 + $4.59
Manufacturing cost per unit = $8.23
Explanation:
here is an explanation and solution to your question
For Euphoria:
The opportunity cost of producing a unit of rye in terms of jeans =20/5 = 4
for contente:
The opportunity cost of producing a unit of rye in terms of jeans = 16/8 = 2
opportunity cost of producing 1 unit of jean in terms of unit of rye:
for euphoria = 5/20 = 1/4
for contente = 8/16 = 1/2
1.
Euphoria's opportunity cost of producing a a bushel of rye is 4 pairs of jeans.
contentes opportunity cost of producing a bushel of rye is 2 pairs of jeans.
2.
contente has comparative advantage in producing rye
euphoria has comparative advantage in jeans production
3
contente produces 8 bushels of rye so with 4 million hours of labor = 8x4 = 32 million bushels in a week.
euphoria 20 pairs of jean in a week, using 4 million hours of labor. 20x4 = 80 pairs of jean a week
Answer:
The optimal order quantity is 316 pounds
Explanation:
In order to calculate What daily order quantity is optimal, we have to calculate first The cost of underestimating the demand Cu and cost of overestimating demand Co
Cu = ($0.60 - $0.50)*4 = $0.40
Co = $1 - $0.80 = $0.20
Next we have to calculate the Service Level = Cu / (Cu + Co)
= 0.40 / (0.40 + 0.20)
= 0.40/0.60
= 0.6667
So, Z Value at above service level = 0.430727
Therefore, in order to calculate the Optimal Order quantity, we would have to use the following formula
Optimal Order quantity= Mean + Z Value × Std Deviation
= 301 + 37 * 0.430727
= 301 + 15.36899
= 316 pounds
Answer:
d. beta did a better job of explaining the returns than standard deviation
Explanation:
Beta measures the systemic risk associated with the particular investment, it do not compute the total risk associated, which is more logical.
Standard deviation computes the total risk associated.
Some risk is natural, like the risk of floods, natural calamities, earthquake, etc:
That risk shall not counted as for comparison as that is associated universally. Further, the risk associated with particular factors like bankruptcy of a company, or some legal case issue of a company are precisely described by beta coefficient.
Thus, beta provides better details about explaining the returns.
