Answer:1.$50/hr
2. $850
3.$30
4.$510
5.$1360
Explanation:
1. Hourly rate= Total annual salary/Number of hours worked
$85,000/1,700 hours=$50/hour.
2. Direct labour cost for client 367 = Hourly(required 1)× Number of hours billed
$50/hour × 17 hours= $850
3. Indirect cost allocation rate = Total indirect costs/ Total number of billed hours
$360,000/12,000 hours= $30/hour
4. Indirect costs allocated to client= Indirect cost allocation rate × Number of attorney billing hours
$30 (from required 3) × 17 hours = $510.
5. Total job cost = direct costs + indirect costs allocated
850 + 510 = 1360.
Enjoy
Answer:
D. Maximize (outputs - inputs)
Explanation:
The input is the raw material, labor, the efforts that is used in making the product while the output is the product or the result arising from the input
The profit arises when output and the input varies from each other
i.e
Profit = Output - input
In the case where there is neither an input nor output fixed, so we have to maximize the profit i.e (output - input) but the condition is that they are different from each other
Hence, the correct option is D.
I believe the correct answer from the choices listed above is option B. <span>The phase of the Technology Product Development Cycle that describes key technology that has been integrated into many products is the mature phase. Hope this answers the question.</span>
Answer:
50 customers per day
Explanation:
For computing the capacity required customers per day, first, we have to compute the current demand per day which is shown below:
Current demand = Average number of pets per day × estimated percentage
= 74 pets × 60%
= 44.4 per day
Now the capacity required per day would be
= (Current demand per day) ÷ (1 - capacity cushion percentage)
= 44.2 ÷ (1 - 0.12)
= 50.22 per day
Answer: When we remove outliers from a data set, the sum total of all the values in the data set will decrease by the total value of outliers removed. The total number of observations will also decrease. The new mean will be lesser than the mean of the original data set.
Since the standard deviation measures the deviations from the mean, the outliers affect the value of standard deviation too.
When these outliers are removed, the deviations from the mean will also decrease and the standard deviation will be lesser than the standard deviation observed in the data set that had outliers.
