Answer: $222,800
Explanation:
Given that,
Sales = $427,000
Cost of goods sold (all variable) = $173,400
Total variable selling expense = $21,200
Total fixed selling expense = $18,900
Total variable administrative expense = $9,600
Total fixed administrative expense = $36,300
Variable expenses:
= Cost of goods sold + Variable selling expense + Variable administrative expense
= $173,400 + $21,200 + $9,600
= $204,200
Contribution margin = Sales - Variable expenses
= $427,000 - $204,200
= $222,800
Answer:
FV≅$5031
Future worth at the end of 30 years will be most nearly $5031.
Explanation:
In order to find the Future value after 30 years, we are going to use the following formula:
where:
FV is the future value (End of 30 years)
PV is the present value ($500)
i is the interest rate=8%=0.08
n is the number of years (30 years)
Now,
FV≅$5031
Future worth at the end of 30 years will be most nearly $5031.
<span>Because customers often participate directly when it comes to the service process, the success of any technological innovation is highly dependent on customer acceptance. This means that if the customers don't like the product or something about it, a technological innovation will not find a place in the main stream and will be unable to succeed.</span>
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.
A. The percentage of the labor force that is unemployed
