Answer:
There is no entry to be made on April 17, 2014
Explanation:
Following The accrual principle - an accounting concept that requires accounting transactions to be recorded in the time period in which they actually occur, rather than the period in which the cash flows related to them occur or the transaction are received.
On April 17, 2014, Naughton Ltd. received an order from a customer for a delivery to be made in May 2014 and the delivery does not occur yet on that day. I should be occur in May 2014.
Therefore, there is no entry to be made on April 17, 2014. In May, when the company finish delivering, the entry would be made:
1. Debit Cash (or Accounts Receivable) $11,000
Credit Revenue $11,000
2. Debit Cost of goods sold $7,500
Credit Cash $7,500
i belive the answer is <em><u>447,250 </u></em> of the net income
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Answer:
Price elasticity of demand measures how much the quantity increases when price decreases.
Explanation:
Price elasticity is the percentage change in the quantity demanded, divided by the percentage change in the price.
If the percentage in the change in the quantity demanded is bigger than the percentage in the change of the price we talk about elastic demand.
If the percentage in the change in the quantity demanded is smaller than the percentage in the change of the price we talk about inelastic demand.
And if he percentage in the change in the quantity demanded is excatly the same than the percentage in the change of the price we talk about unit elastic demand.
False is the correct answer
Po = 0.5385, Lq = 0.0593 boats, Wq = 0.5930 minutes, W = 6.5930 minutes.
<u>Explanation:</u>
The problem is that of Multiple-server Queuing Model.
Number of servers, M = 2.
Arrival rate, 
= 6 boats per hour.
Service rate, 
= 10 boats per hour.
Probability of zero boats in the system,![\mathrm{PO}=1 /\{[(1 / 0 !) \times(6 / 10) 0+(1 / 1 !) \times(6 / 10) 1]+[(6 / 10) 2 /(2 ! \times(1-(6 /(2 \times 10)))]\}](https://tex.z-dn.net/?f=%5Cmathrm%7BPO%7D%3D1%20%2F%5C%7B%5B%281%20%2F%200%20%21%29%20%5Ctimes%286%20%2F%2010%29%200%2B%281%20%2F%201%20%21%29%20%5Ctimes%286%20%2F%2010%29%201%5D%2B%5B%286%20%2F%2010%29%202%20%2F%282%20%21%20%5Ctimes%281-%286%20%2F%282%20%5Ctimes%2010%29%29%29%5D%5C%7D)
= 0.5385
<u>Average number of boats waiting in line for service:</u>
Lq =![[\lambda.\mu.( \lambda / \mu )M / {(M – 1)! (M. \mu – \lambda )2}] x P0](https://tex.z-dn.net/?f=%5B%5Clambda.%5Cmu.%28%20%5Clambda%20%2F%20%5Cmu%20%29M%20%2F%20%7B%28M%20%E2%80%93%201%29%21%20%28M.%20%5Cmu%20%E2%80%93%20%5Clambda%20%292%7D%5D%20x%20P0)
= ![[\{6 \times 10 \times(6 / 10) 2\} /\{(2-1) ! \times((2 \times 10)-6) 2\}] \times 0.5385](https://tex.z-dn.net/?f=%5B%5C%7B6%20%5Ctimes%2010%20%5Ctimes%286%20%2F%2010%29%202%5C%7D%20%2F%5C%7B%282-1%29%20%21%20%5Ctimes%28%282%20%5Ctimes%2010%29-6%29%202%5C%7D%5D%20%5Ctimes%200.5385)
= 0.0593 boats.
The average time a boat will spend waiting for service, Wq = 0.0593 divide by 6 = 0.009883 hours = 0.5930 minutes.
The average time a boat will spend at the dock, W = 0.009883 plus (1 divide 10) = 0.109883 hours = 6.5930 minutes.
