Answer:
they use financial statements and other information prepared by accountants to make financial decision and are focused on the cash flows, the inflows and outflows of cash.
Explanation:
Answer:
The optimal order quantity is 316 pounds
Explanation:
In order to calculate What daily order quantity is optimal, we have to calculate first The cost of underestimating the demand Cu and cost of overestimating demand Co
Cu = ($0.60 - $0.50)*4 = $0.40
Co = $1 - $0.80 = $0.20
Next we have to calculate the Service Level = Cu / (Cu + Co)
= 0.40 / (0.40 + 0.20)
= 0.40/0.60
= 0.6667
So, Z Value at above service level = 0.430727
Therefore, in order to calculate the Optimal Order quantity, we would have to use the following formula
Optimal Order quantity= Mean + Z Value × Std Deviation
= 301 + 37 * 0.430727
= 301 + 15.36899
= 316 pounds
Answer:
Eng grammar
Explanation:
Comma is Basically a 1 second pause after the word so when you say the above mentioned sentence then a one second pause is required after the word rain..
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Answer:
Option A The impact of a change in the local currency on inflow and outflow variables can sometimes be indirect and therefore different from what is expected.
Explanation:
The reason is that the changes in the currency exchange rate in which the company receives the payment and is also not a home currency, such risk exposure is known as economic exposure. So the only option that correct here is option A.
Option B is incorrect because depreciation is non cash item and it is not exposed to currency fluctuations.
Option C and D are also incorrect because domestic firms don't face any economic exposure.
This is an example of variation. The
coefficient of variation, also referred to as the Spearman coefficient of
variation, is a statistical measure that informs us about the relative dispersion
of a data set. Its calculation is obtained by dividing the standard deviation<span> between
the absolute value of the average of the set and it is usually expressed as a
percentage for its better understanding.</span>
