Answer:
14.1%
Explanation:
Cash return on assets is the ratio of a company's operating cash flow to its average total assets. It shows how a company is generating cash flow from its assets and compares a company’s profitability with other companies.
Cash return on assets = operating cash flow / average total assets
Given that:
operating cash flows = $240,000
Average total assets = ($1.6 million + $1.8 million) / 2 = $1.7 million.
Therefore, Cash return on assets = $240000 / $1.7 million = 0.141 = 14.1%
There is no industry which can not relay on estimation, all industries needs estimation.
The two primary categories of this profession are construction and manufacturing, according to the Bureau of Labor Statistics. It states that more than half of all cost estimators work in the construction industry, where they may further specialize in projects for homes, businesses, industries, or the government.
Cost estimation aids in setting the project budget, planning the required work, and managing new resources. Cost estimates are also of the utmost importance when trying to win over new clients. Before starting actual building, property owners also utilize cost estimates to evaluate the viability of their projects.
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Answer:
False
Explanation:
The rules and regulations set for vaccine production and it result to lower costs of the does not contribute to shorted of vaccines, rather the tightened regulations helps in the production of more vaccines, at a cheaper or lower prices, and also makes it available for many instead of having shortage in the supply. So it is false.
Answer:
a. 41.6 million
b. 42.28 million
Explanation:
A) GIven
forecast in june = Sjune = 42 million
Checks recived in june = Xjune = 40 million
Smoothing constant = a = 0.2
So for july
Sjuly = a*Xjune + (1-a)*Sjune
=0.2*40 + (1-0.2)*42 million
=8+33.6 = 41.6 million
B) forecast in july = Sjuly = 41.6 million
Checks recived in july = Xjuly = 45 million
Smoothing constant = a = 0.2
So for August
Saugust = a*Xjuly + (1-a)*Sjuly
=0.2*45 + (1-0.2)*41.6 million
=9+33.28 = 42.28 million
<em>Note: This uses an exponential smoothing to forecast the results, but from the number of checks recived we see that it increases linearly. So we need a linear forecasting method .</em>
