An unfavorable materials quantity variance indicates that the actual usage of materials exceeds the standard material allowed for output.
<h3>What do you mean by material quantity variance?</h3>
The material quantity variance refers to the difference between the standard amount and the actual amount of materials used in the production process.
The material quantity variance yield unusual results as it is based on a standard unit quantity that is not even close to the actual usage.
Therefore, an unfavorable materials quantity variance indicates that the actual usage of materials exceeds the standard material allowed for output.
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Explanation:
It is necessary for companies to develop a strategic business plan, which contains the action plans necessary for an organization to achieve its objectives and goals.
The organization's strategic planning will comprise long-term objectives, including the company's guidelines, its mission, vision and values, the analysis of internal and external environments, and action plans, which will help the company to be well positioned, profitable and competitive in the market.
Answer:
The correct answer is letter "D": short-term financing.
Explanation:
Short-term financing allows companies to obtain capital for their <em>day-to-day operations</em>. The funds obtained are typically used for the transactions companies require during one period -one year, but the term for payment tends to be within six (6) to twenty-four (24) months. Under this scenario, the main purpose of firms is to keep their businesses up and running and obtain profits enough for the payment of the loan and reinvestment in the company.
A.limited supply hope that helps
Answer:
(a) 
(b) 
(c) X=4.975 percent
Explanation:
(a) Find the z-value that corresponds to 5.40 percent
.
Hence the net interest margin of 5.40 percent is 2.5 standard deviation above the mean.
The area to the left of 2.5 from the standard normal distribution table is 0.9938.The probability that a randomly selected U.S. bank will have a net interest margin that exceeds 5.40 percent is 1-0.9938=0.0062
(b) The z-value that corresponds to 4.40 percent is 
The net interest margin of 4.40 percent is 0.5 standard deviation above the mean.
Using the normal distribution table, the area under the curve to the left of 0.5 is 0.6915
Therefore the probability that a randomly selected U.S. bank will have a net interest margin less than 4.40 percent is 0.6915
(c) The z-value that corresponds to 95% which is 1.65
We substitute the 1.65 into the formula and solve for X.
A bank that wants its net interest margin to be less than the net interest margins of 95 percent of all U.S. banks should set its net interest margin to 4.975 percent.
