Answer:
475
Explanation:
The computation of the target level that should be set is given below:
= demand per day × (lead time + review period)+ safety stock
where
safety stock is
= z value at service level × standard deviation × √(review period + lead time)
= 1.64 × 5 × √(7 + 2)
= 24.67
Now the target level should be
= 50 × (7 + 2) + 24.67
= 474.67
= 475
Answer:
$13,000
Explanation:
Most property purchased during 2019 and beyond, may be expenses using Section 179 tax deductions. The limit for 2019 was $1 million and that is way more than $13,000. Section 179 is one of the few benefits that small business got from the Tax Cut and Jobs Act, and it can be really useful.
Businesses can deduct the full purchase price of qualifying equipment (used manufacturing equipment qualifies) as long as it was purchased after January 1, 2019. This is an incentive created to encourage businesses to buy more equipment and invest more.
Answer:
$10,904.84
Explanation:
According to the scenario, computation of the given data are as follow:-
Year Deposit amount ($) At 9% for 3 years Future value of deposits ($)
1 $1,500 (1.09)^3 = 1.295029 $1,942.54
2 $3,000 (1.09)^2 = 1.1881 $3,564.3
3 $2,200 (1.09)^1 = 1.09 $2,398
4 $3,000 1 $3,000
Total $10,904.84
Future value = cash flow × (1 + interest rate)^number of years
When the amount of $10,904.84 is available, I buy the car.
Answer:
The correct answer is a) distributional.
Explanation:
The standard error is the standard deviation of the sample distribution of a sample statistic.1 The term also refers to an estimate of the standard deviation, derived from a particular sample used to compute the estimate.
The sample mean is the usual estimator of a population mean. However, different samples chosen from the same population tend in general to give different values of sample means. The standard error of the mean (that is, the error due to the estimation of the population mean from the sample means) is the standard deviation of all possible samples (of a given size) chosen from that population. In addition, the standard error of the mean can refer to an estimate of the standard deviation, calculated from a sample of data that is being analyzed at the same time.
Answer:
represents the TOTAL revenue at time
.
Explanation:
is the revenue at the time
at the first restaurant.
is the revenue at the time
at the second restaurant.
If we want to know the TOTAL revenue at the time
, we would sum these quantities:
TOTAL revenue = 
So
represents the TOTAL revenue at time
.