If increased government spending spurs a short-run expansion. The statement that complete the gap is:<u> Shifts to the left</u>, <u>Output endresources.</u>
<h3>What is aggregate supply?</h3>
Aggregate supply can be defined as the overall amount of goods and service that a firm intend to produce and supply at a point in time or at a particular period of time.
If an increase in government spending lead to short run expansion this means that there will be shift in aggregate supply of goods and service as aggregate supply will tend to shift to the left.
Therefore the statement that complete the gap is:<u> Shifts to the left</u>, <u>Output endresources.</u>
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Answer:
It is more convenient to produce in house.
Explanation:
Giving the following information:
Direct materials $ 4.00
Direct labor 8.00
Overhead 9.00
Total costs per unit $ 21.00
Direct materials and direct labor are 100% variable. The overhead is 80% fixed. An outside supplier has offered to supply the 61,000 units of RX5 for $19.00 per unit.
The fixed costs are unavoidable, therefore we will concentrate the analysis in the variable costs.
Make in house:
Unitary cost= 4 + 8 + (9*0.20)= $13.8
Buy= 19
Difference= 19 - 13.8= 5.2
It is more convenient to produce in house.
Answer:
The correct answer is (D)
Explanation:
Financial reporting is a complex task which requires an expert to handle them accurately. Companies make many changes in the real data to slip from government taxes and they usually report losses. Auditors are the one responsible to find discrepancies in the financial reporting. So, the primary responsibility rests with the auditors for accurate financial reporting.
Answer:
6.11%
Explanation:
For computing the variance, first we have to determine the expected return which is shown below:
= (Expected return of the boom × weightage of boom) + (expected return of the normal economy × weightage of normal economy) + (expected return of the recession × weightage of recession)
= (12% × 5%) + (10% × 85%) + (2% × 10%)
= 0.6% + 8.5% + 0.2%
= 9.30%
Now the variance would equal to the
= Weightage × (Return - Expected Return) ^2
For boom:
= 5% × (12% - 9.3%) ^2
= 0.3645
For normal economy:
= 85% × (10% - 9.3%) ^2
= 0.4165
For recession:
= 10% × (2% - 9.3%) ^2
= 5.329
So, the total variance would be
= 0.3645 + 0.4165 + 5.329
= 6.11%