Explanation:
computers have changed the way people relate to one another and their living environment as well as how humans organise their work and their time
Answer:
$7,732 unfavorable
Explanation:
The computation of the direct labor rate variance is shown below:
Direct labor rate variance = Actual time taken × (Standard rate - actual rate)
= 5,021 labor hours × ($14.71 - $81,591 ÷ 5,021 labor hours)
= 5,021 labor hours × ($14.71 - $16.25)
= $7,732 unfavorable
Since the actual rate is more than the standard rate so it would be lead to unfavorable variance
This is the answer but the same is not provided in the given options
Answer:
d. temporary
Explanation:
Competitive advantage refers to a competitive edge a firm gains over it's competitors by offering better value via it's products or by offering such products at reduced prices.
Competitive advantage results out of a unique or specific methods of production which is more efficient than the competitors and most importantly which cannot be imitated by competitors.
In the given case, the advantage which has accrued is on account of organic method of raising chickens and organic seasonal produce. These advantages are momentarily as, soon other restaurants shall follow suit and gradually these shall disappear.
Good credit score.
It's hard to answer without having choices to choose from as there are loads of things a bad credit score can prevent you from obtaining.
Sorry I couldn't help more.
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.
