Answer:
B. one of only 2 factories that made the product shuts down.
Answer:
The answer is C: 14300
Note: The actual answer is 14296, <em>and </em>the closest to that was option C.
Explanation:
Formula to calculate forecast using Exponential smoothing:
Where,
= New Forecast 
= Previous period's forecast.
= Smoothing Constant 
= Previous period's Actual Demand.
- Calculating the forecast for period 5:
Data:
Putting <em>values in the formula:</em>
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The American Institute of Certified Public Accountants has designated the Auditing Standards Board as its senior technical committee for the purpose of issuing standards, guidelines, and auditing, attestation, and quality control statements to certified public accountants for audits of non-public companies.
The Auditing Standards Board (ASB) provides certified public accountants with standards, guidelines, and auditing, attestation, and quality control statements (CPAs). It is the senior technical committee of the AIPCA and is in charge of creating generally recognized auditing standards (GAAS) for private enterprises.
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Answer:
<u><em>FALSE</em></u>
Explanation:
Remember, total asset turnover is calculated using a ratio that measures how the management was able to use its assets to efficiently increase sales. Usually the total asset turnover is gotten by dividing a<em> company's sales </em>by its <em>total assets.</em>
<em />
To increase sales, management should <em>continue</em> to use its existing assets (not making purchase of any new asset), and at the same time reducing their purchases of inventory.
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%
