Answer:
The controllable variance for the month was $1,709 unfavorable
Explanation:
Controllable variance: The controllable variance show a difference between actual overhead expenses incurred and budgeting operating level based on direct labor hour.
In mathematically,
Controllable variance = Actual overhead expenses - budgeting operating level based on direct labor hour
where,
Actual overhead expenses = $11,227
And, budgeted operating level based on direct labor hour
= budgeted operating level × direct labor per hour
= 6,160 × $2.10
= $12,936
Now, put these values on the above formula:
So,
Controllable variance = $11,227 - $12,936 = $1,709 unfavorable
Hence, the controllable variance for the month was $1,709 unfavorable
The correct option for The firm enjoys economies of scope.
economies of scope exist if C(Q1, 0) + C(0, Q2) > C (Q1, Q2) (10 + 5Q1) + (10 + 5Q2) > 10 + 5Q1 + 5Q2 - 0.2Q12Q2.
Economies of scope is an economic theory stating that the average total cost of production decrease as a result of increasing the number of different goods produced. For example, a gas station that sells gasoline can sell soda, milk, baked goods, etc.
Economies of scope is a financial precept wherein a commercial enterprise's unit value to supply a product will decline because the form of its products will increase. In different words, the extra one of kind-but-comparable goods you produce, the lower the total cost to provide each one may be.
Your question is incomplete. Please read below for the missing content.
A firm can produce two products with the cost function C(Q1, Q2) = 10 + 5Q1 + 5Q2 - 0.2Q1Q2. The firm enjoys:
A. economies of scale in the two products separately.
B. economies of scope.
C. cost complementarity.
D. economies of scale in the two products separately and cost complementarity.
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Answer: Matched pairs design
Explanation:
A matched pairs design is a type of study used when 2 treaments are present in an experiment. The individuals in the design can be divided into pairs using a blocking variable, and each pair can then be allocated to treatments at random. This is thus a special type of randomized block design.
In this case the blocking variable can be the various urban areas as 1968 is matched against 1972. Each city can be compared based on 2 measurements. From their each individual can be grouped into pairs and allocated to different treatments.
