Answer:
Contribution margin per unit = $85 per cubic yard
Contribution margin ratio = 56.67%
Explanation:
The computations are calculated below:
Contribution margin per unit = Selling price per cubic yard - variable cost cubic yard
= $150 - $65
= $85 per cubic yard
Contribution margin ratio would be
= (Contribution margin per cubic yard) ÷ (Selling price per cubic yard) × 100
= ($85) ÷ ($150) × 100
= 56.67%
And, The statement of contribution margin income for the month of August is shown below:
Sales (240 cubic yards × $150) $36,000
Less: Variable cost (240 cubic yards × $65) ($15,600)
Contribution margin $20,400
Less: Fixed expenses per month ($15,000)
Net income $5,400
The increased pessimism will affect the aggregate demand curve by: shifting the aggregate demand curve to the left.
<h3>What is Aggregate Demand Curve?</h3>
An aggregate demand curve can be described as curve that shows the total spending that is made on domestic goods and services based on different price levels.
When the aggregate demand curve shifts to the right, it means demand is increased. However, wen aggregate demand curve shifts to the left, it means demand decrease.
Recession that happened in 2007-2009 that made many consumers pessimistic about their future incomes discourages buying. This leads to a decrease in demand which will make the aggregate demand curve to shift to the left.
Therefore, the increased pessimism will affect the aggregate demand curve by: shifting the aggregate demand curve to the left.
Learn more about aggregate demand curve on:
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Answer:
In monetary economics, the demand for money is the desired holding of financial assets in the form of money: that is, cash or bank deposits rather than investments. It can refer to the demand for money narrowly defined as M1 (directly spendable holdings), or for money in the broader sense of M2 or M3.
Explanation:
Answer:
C. some factors that are not measured or observed may affect the curve.
Explanation:
a lot of unforeseen circumstances might occur. these occurrences would not be measured in the estimated demand curve. this would lead to the estimated demand curve not matching the actual demand curve.
for example, the factors affecting the demand for bread are ; price, income, price of a substitutes. these are included in estimating the demand curve for bread. Assume that a study comes out stating that bread is harmful to the health.this reduces the demand for bread. this study wasn't anticipated and included in estimating the demand curve. as a result, the actual data would differ from the estimated data
