Answer:
C) Recurrent Disability provision
Explanation:
The human body is a fantastic machine but sometimes when you have health problems they don't show up immediately.
For example you might get hit on the right side of your head severely and lose partial hearing from your right ear, but in a couple months you might notice that your short term memory has also been affected. Both disabilities were caused by the injury although one showed up before the other.
The insurance company has to provide the disability benefits without a new elimination period under the recurrent disability provision.
Answer: 2 years
Explanation:
The payback period is the amount of time that is needed for the required cash inflow of a project to offset the initial cash outflow that the business offsets. The payback period is when the initial outlay of an investment is recovered. There are two different methods used to calculate payback period. We have the average method and the subtraction method.
In the above question, the payback period is solved as follows:
Labour cost decreases by 10% for each unit.
Therefore,
= $10 × 10%
= $10 × 0.1
= $1 per unit.
In order to recover $2000, the business needs to sell the following;
= 2000/1
= 2000units.
If Eric sells 1000 units per year of Emu, it will take:
2000/1000= 2years
In conclusion, the payback period of the investment is 2 years.
Answer:
The correct answer is letter "D": have the questionnaire translated back into English to check for accuracy.
Explanation:
<em>Translating </em>is the activity by which the message given in a language is provided written in a different language. However, all languages are not the same and during the translation, meaning can be lost. Besides, specific terminology could make the translation difficult for the translator.
Thus, for accuracy purposes Malaya Ramirez should have the English-Spanish translation checked, making it be translated back into English.
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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The answer is b) white or light colored
