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
Answer:
Make since the relevant cost to make it is $59.05
Explanation:
Calculation to determine what Epsilon should choose to:
Relevant costs to make = 8.20 + 24.20 + [41*(100%-35%)]
Relevant costs to make = 8.20 + 24.20 + (41*65%)
Relevant costs to make = 8.20 + 24.20 + 26.65
Relevant costs to make =$59.05
Therefore Epsilon should choose to: MAKE SINCE THE RELEVANT COST TO MAKE IT IS $59.05
Total output of an economy can be divided into its alternative uses by considering who bought the output. when other countries purchase part of an economy's output, this is called Gross Domestic Product [GDP],
<h3>Gross Domestic Product</h3>
The total monetary or market worth of all the finished goods and services produced within a nation's boundaries during a certain time period is known as the gross domestic product (GDP). It serves as a thorough assessment of the state of the economy in a particular nation because it is a wide indicator of total domestic production.
Although it is often calculated on a yearly basis, GDP can also be computed on a quarterly basis. For instance, the US government estimates the annualized GDP for the entire year as well as each fiscal quarter.
To know more about 'GDP', visit :brainly.com/question/1383956
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Answer:
$ 74.23
Explanation:
We are given the following:
mean, μ = $ 104.50
standard deviation, σ = $ 23.62
Using the z-score table, we have
P(Z < z) = 10% (since we are evaluating lowest 10% of values)
hence P(Z < z) = 0.10
P(Z < -1.282 ) = 0.10
z = -1.282 (this evaluates to 0.1 on the z-score table)
Using z-score formula,
x = z *σ + μ
substituting the values,
x =- - 1.282 * 23.62 + 104.50
= 74.23
The most for the stock is $ 74.23