The long-run aggregate supply curve shows the relationship between price level and real GDP.
<h3>What is the supply curve?</h3>
It should be noted that the information is incomplete. Therefore, an overview will be given. The supply curve is a graphic representation of the correlation between the cost of a good or service and the quantity supplied for a given period.
In this case, in a typical illustration, the price will appear on the left vertical axis, while the quantity supplied will appear on the horizontal axis.
The long-run aggregate supply curve shows the relationship between price level and real GDP that would be supplied if all prices were fully flexible.
The position of the long-run aggregate supply curve is determined by the aggregate production function and the demand and supply curves for labor.
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Answer: have control over
Explanation:
Responsibility accounting is a system of accounting whereby responsibility centers are identified and the performance reports of such responsibility centers are prepared and analysed.
Responsibility accounting has to.do with the internal accounting for the responsibility center that the company has and their budgeting.
In responsibility accounting, unit managers are evaluated only on things that they can control or have control over.
Answer:
the correct answer is
The price and the real GDP both fall
In this case it is a realistic view of the work. The manager makes it clear what the company intends with the employee. She explains that employment can offer good chances for professional growth, but also makes it clear that this will happen due to employee performance and consistent work. It is a realistic view of the job by presenting the benefits and duties of the employee.
Given the following:
Sigma =
17.8
E =
44 points
Confidence interval = 99% - 2.58
Confidence interval = 95% - 1.96
In order to get the sample size,
use the formula:
For 99% confidence level
n =
[ (z value x s) / E ]2
n =
[ (2.58 x 17.8) / 44]2
n =
1. 089 or 1 (rounded up)
For 95% confidence level
n =
[ (z value x s) / E ]2
n =
[ (1.96 x 17.8) / 44]2
n =
0.628 or 1 (rounded up)
As we decrease the confidence
level, from 99% to 95%, our confidence interval gets smaller. In additional, to
be more confident that our interval actually comprises the population mean we
have to increase the size of the interval. To ease that trade off between level
of confidence and the precision of our interval is to primarily increase the
sample size.
