Answer:
There should be strong internal controls implemented and segregation of duties in the finance department.
Explanation:
There is lack of internal controls present in the company which may lead to fraud or errors. The employees assigned to record the transaction are not recording all the cash receipts and are missing some of the cash receipts which can cause errors during reconciliation. The sub divisions of finance department must be segregated and there should be a supervisor who should be responsible to review all the work done by these departments.
Answer and Explanation:
The computation of the net present value is presented in the attachment below:
For project A, the net present value is $91,771.53 and for project B, the net present value is $79,390.69
It is computed after considering the discounting factor that comes from
= 1 ÷ (1 + discount rate)^number of years
for year 1, it is
= 1 ÷ (1 + 0.06)^1
The same applied for the remaining years
Answer:
1. Inside the dorm room, the movies are <em>Non-Rival</em> which means that one person can watch the movie and it will not diminish the ability of others to watch as well.
Also as they are all in the same dorm, the showing of the movie is <em>Non-Excludable</em> as well because no one can stop the other from watching.
Public good is both Non-Rival and Non-Excludable so the showing of a movie IS a public good.
2.
Musashi Sean Bob Eric Total Willingness to pay
10 9 8 3 30
8 7 6 2 23
6 5 4 1 16
4 3 2 0 9
2 1 0 0 3
The optimal number of movies that can be rented is dependent on their total willingness to pay. If their Total willingness to pay for the movie is above $8 which is the cost of a movie, then they will get it. From the table, the fifth movie is below the price of $8 so they <u>should rent 4 movie</u>s.
3. If they rent 4 movies and there are 4 of them then the cost per person is;
= (8 *4)/4 people
= 24/4
= $8
This means that each roommate will pay <u>$8</u>.
Answer:
A. predictive validity.
Explanation:
The tool has predictive-validity because it can assess, or predict, out of a sample, which subjects will be depressed in the future, and which subjects will not, producing similar results to other tools that also measure depression, something that gives it credibility.