Answer:
Explanation:
Let we assume the number of CD produced be X
So, the total cost would be
C = Fixed cost + variable cost × number of CD produced
= $30,000 + $17X
For total revenue, it would b
R = $63X
For total profit, it would be
P = Selling cost per CD × number of CD produced - variable cost per CD × number of CD produced - fixed cost
= $63X - $17X - $30,000
= $46X - $30,000
For number of CD, it would be
0 = $46X - $30,000
X = $30,000 ÷ $46
= 652 CD for break-even
If I'm correct-- by outdoor advertising do you mean commercials and ads encouraging people to go outside?
Answer:
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Explanation:
Aprenda Como ganhar Dinheiro na Internet aqui mesmo
Answer:
Results are below.
Explanation:
Giving the following information:
Estimated direct labor hours= 135,000
Estimated varaible overhead= $337,500
Estimated fixed overhead= $540,000
<u>To calculate the predetermined overhead rate, we need to use the following formula:</u>
<u></u>
Predetermined manufacturing overhead rate= total estimated overhead costs for the period/ total amount of allocation base
<u>Variable:</u>
Predetermined manufacturing overhead rate= 337,500/135,000= $2.5 per direct labor hour
<u>Fixed:</u>
Predetermined manufacturing overhead rate= 540,000/135,000= $4 per direct labor hour
Answer:
The thief has a 0.11% probability of hitting the pin code on the first try.
Explanation:
Simply, if the ATM card has a 3-digit code that can be repeated, and the board has 9 numbers (for example, from 1 to 9), we must start from the smallest number that could be formed with these numbers to the highest number that these numbers could also compose, which in the case would be 111 and 999. Then, 889 different numbers could be formed (it is the distance between 111 and 999), with which the possibility of hitting the key to the first attempt would be 1 in 889 times, or 1/889.
To take the probability to a percentage, we must know that 889 / 8.89 gives 100. Therefore, dividing 1 / 8.89 we will know the percentage of probabilities of hitting the key on the first attempt: 1 / 8.89 = 0.11.
This shows us that the thief has a 0.11% probability of hitting the key on the first try.