Answer:
The amount of overhead debited to Work in Process Inventory should be: a. $182,00
Explanation:
The Overheads are Applied in the Manufacturing Costs as:
Budgeted Rate × Actual Activity for the Month
At the End of the Period we would need to determined whether this amount of overhead is Over or Under Applied by comparing it to the actual overheads incurred of $180,000 (given)
In our Case, the predetermined overhead rate is 70% of direct labor cost
<em>Thus we need to find the Direct Labor Cost first</em>:
Total Labor Costs $360,000
<em>Less </em>Indirect Labor Costs<em> </em>$100,000
Direct Labor Cost $260,000
<em>Therefore Overheads applied would be determined as:</em>
= $260,000 × 70%
= $182,000
Answer
Associate: where a company has holdings of between 20% and 50%.
Minority Interest: where a company has holdings of less than 20%
Parent Company: where a company has holdings of more than 50%.
Explanation:
<u>An associate company </u>(or associate) is a company that owns a business beyond 20% and not more than 50%. In business valuation such a company that has invested significantly in the shares of another company will have voting rights in the board of the acquired company.
<u>Minority Interest</u> is the term used to describe the investments of one company in another company, when such investments are less than 20% of the total value of the acquired company.
<u>Parent Company</u> is a company that owns more than half (50%) of the shares or value of another company.
Answer
The answer and procedures of the exercise are attached in the following archives.
Step-by-step explanation:
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
None of the above. The Flu Trends model was based on Goo-gle search data.
<h3>Goo-gle Flu Trends and the Power of Big Data</h3>
In 2009, Goo-gle launched a new service called Goo-gle Flu Trends. The service used data from Goo-gle searches to estimate the level of flu activity in different areas of the United States. The results were pretty accurate - in some cases, Goo-gle Flu Trends was able to detect flu outbreaks before government health agencies did.
Goo-gle Flu Trends was a great example of the power of big data. By analyzing a large dataset, Goo-gle was able to find patterns that would have been otherwise undetectable. And because Goo-gle has so much data, its findings were often more accurate than those of government health agencies.
Unfortunately, Goo-gle Flu Trends was discontinued in 2015. But its legacy lives on - other companies are now using big data to detect disease outbreaks, and the field of data science is only getting more important.
Learn more about trends models:
brainly.com/question/15552860
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