<span>When people with disabilities get an adapted driver's license, they become better able to independently function and contribute to society. This feeling facilitates successful self-actualization. An adapted drivers license will also alert government officials, whenever necessary, of any special precautions necessary when aiding these drivers in tasks related to their disability, and in providing proper accommodations as such.</span>
Answer:
(a) How this episode is likely to affect the economic well-being of people in the country
In the short-run, there will be an increase in labor demanded, increasing jobs to build homes and repair the damage caused by the earthquake. In the long-run, things will begin to go back to normal.
(b) How this episode is likely to affect the economy’s measured GDP
In this case, GDP measurements will shift causing less of an input in private spending and an increase in government spending due to subsidies to increase home-building.
Answer:
d. If the WACC is 9%, Project B's NPV will be higher than Project A's.
Explanation:
The internal rate of return is the return in which the NPV is zero i.e cash inflows equal to the initial investment
While the WACC refers to the cost of capital by considering the capital structure i.e cost of equity, cost of preferred stock and cost of debt by taking their weightage
Now if the WACC is 9% so project B NPV would be higher as compared to project A as we can see that project B IRR is greater than the project A IRR
Therefore option d is correct
Answer:
The second statement is true.
Explanation:
- The school is dependent on what state the 529 is registered with.
- Option 3 is not a benefit
- 529 contributions are made with after tax dollars, only interest earned and distributions are tax deffered.
Answer:
B. they involve the use of expert judgement do develop forecasts
Explanation:
A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.
Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.
In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.
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