Answer:
(D) order taker.
Explanation:
An order taker is a salesperson who collects orders checks inventories, processes straight rebuys, sets up displays but does not make any effort to invite new customers or persuade the existing ones to increase their quantities of purchase.
Answer:
the Expected rate of return will be 8.2%
the variance will be 0.001296
Explanation:
We will calculate the Expected Rate of Return which is the sum of the wieghted return based on their probabilities:
return of 0.15 probability 20% = 0.03
return of 0.07 probability 70% = 0.049
return of 0.03 probability 10% = 0.003
expected return = 0.082 = 8.2%
Now to calculate the variance we do:
∑(rk-ERR)^2 x pk
The sum of the difference between the expected rate and the escenario rate, power two, and multiply by their posibility
the variance will be: 0.001296
Answer:
By Focusing on Key Performing Indicators (KPIs)
Explanation:
Having large amounts of data has its <em>advantages</em> with give entities competitive advantages over rivals. These include the ability to satisfy a market need and establish changing trends in demand.
However, some firms <em>get lost in large data</em> and this is because of overwhelming amount of information and failure to focus on their industry`s Key Performance Indicators (KPIs).
Answer:
Explanation:
The formula to compute the percentage of amount due for each month is shown below:
= (Month wise amount due) ÷ (Total receivables) × 100
For April:
= ($156,240) ÷ ($390,600) × 100
= 40%
For March:
= ($78,120) ÷ ($390,600) × 100
= 20%
For February:
= ($117,180) ÷ ($390,600) × 100
= 30%
For January:
= ($39,060) ÷ ($390,600) × 100
= 10%
Answer: B. The firm would install the filter at a cost of $ 300,000.
Explanation:
If the community owns the property rights, they would be able to demand that the firm pay the external cost of $500,000 per year.
If on the other hand the company installed a filter, it would cost them $300,000 but then they would not have to pay the community the $500,000.
The lower cost option would be to install the filter for $300,000 which is what the firm would do.
