<span>The most likely effect of a write-down of inventory to net realizable on a firm's total asset turnover is an increase.
</span>A write-down of inventory to net realizable value is typically recognized as an increase in cost of goods sold in the period of the write-down, according the <span>inventory equation:
</span><span>ending inv</span>entory = beginning inventory + purchases - cost of goods sold
Answer: Option (iv) is correct.
Explanation:
Frictional unemployment is always present in an economy. Frictional unemployment occur because of the transitions in the employment of the individuals. It is included in the natural unemployment, because it shows the minimum level of unemployment in the economy.
When a person quit his first job and looking for a new job, this is known as frictional unemployment.
So, option(iv) is correct.
<span>a sum of money sent or in payment for goods or services or as a gift.
</span>
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:
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