Answer:
a. You would pay them $250 to move.
Explanation:
The Coase Theory states that in order to solve problems, you must choose the most efficient economic solution regardless of who has property or use rights.
if the campers stay, you will lose $500 (in satisfaction)
cost of moving them is $200
cost of staying and being quiet is $300
it is cheaper to pay them between $200 and $299 so that they move somewhere else
Answer:
b. direct materials of $49,662, direct labor of $65,451, utilities of $10,121, and supervisor salaries of $14,900
Explanation:
The Supervisor's Salary is a fixed cost.
Therefore, a flexible budget for 13,900 units of production would show:
- Direct materials of $49,662,
- Direct labor of $65,451,
- Utilities of $10,121
- Supervisor salaries of $14,900
Answer:
$1,293.13
Explanation:
For computing the monthly mortgage payments we use the PMT formula i.e to be shown in the attachments below:
Given that,
Present value = $285,000 - $285,000 × 20% = $228,000
Future value = $0
Rate of interest = 5.49% ÷ 12 months = 0.46%
NPER = 30 years × 12 months = 360 months
The formula is shown below:
= PMT(Rate;NPER;-PV;FV;type)
The present value come in negative
After applying the above formula, the monthly mortgage payment is $1,293.13
The two teams sharing a work space and machine is known as sequential interdependence.
<h3>What is sequential interdependence?</h3>
Your team members depend on one another in predictable ways for the flow of information, tasks, and decisions when there is sequential interdependence.
It has the following features-
- sequential interdependence is a type of task interdependence.
- The output of one person serves as the input for the following one in the chain.
- What the name implies is precisely that: sequential dependency. When one department or team must complete a task before another team can, it occurs.
To know about the task interdependence, here
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Answer:
Daily measurement of credit analyst production.
Explanation:
The financial institutions have a department that is in charge of deciding if a credit application is viable or not. Usually there is a great amount of credit applicants and the work load is high for the credit analyst that have to give a financial assessment of each customer asking for a loan.
In this context the measurement of the time that is spend by each credit analyst in order to successfully complete the analysis of one application is vital in order to decide what is going to be the number of credits that each analyst must process in a day.
Usually the Manager of this department measures the time spend by an analyst regarding the type of loan that the client is asking for. In this sense it will be faster to analyze an application that only ask for a credit card than an application that ask for a mortgage.
Upon the results they divide the quantity of hours available to work into the time spend to each analysis and finally decide what is going to be the final amount of credits that an analyst most process.
I believe that the results of this measurements are optimal if the sample that is used is broad and it takes into account days where the number of credits available to analyze are few and a lot.