Answer:
$1,248
Explanation:
The current premiums are $975, which is equivalent to 100%. The new premium will increase by 28%.
New premiums will be $975% plus 28%, which is equal to 128% of $975
= $975 x 128/100
=$975 x 1.28
=$1,248
Answer:
Option (d) is correct.
Explanation:
Given that,
Average inventory in all of its worldwide locations = $15 million
Operate in a year = 51 weeks
Weekly cost of goods sold = $3 million
Annual cost of goods sold:
= Weekly cost of goods sold × Number of weeks in a year
= $3 million × 51 weeks
= $153 million
Inventory turnover:
= Cost of goods sold ÷ Average inventory
= $153 million ÷ $15 million
= 10.2 turns
Answer:
A) total debt = $2,230,000 and it represents 175,000 - 125,000 = 50,000 outstanding shares
price per share = $2,230,000 / 50,000 = $44.60 per share
B) enterprise value = 175,000 x $44.60 = $7,805,000
According to M&M proposition I, the enterprise value is the same with or without any outstanding debt. So the company's value is the same for both alternatives.
Answer: Kathleen
Explanation:
English Rule is that it does not matter about anyone else in the case. So long as John owes money to Kathleen, then Kathleen is the one who can claim the money.
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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