Answer:
value
Explanation:
Opportunity cost or implicit is the value of the option forgone when one alternative is chosen over other alternatives.
For example, if I leave by job where i earn $100,000 per year to study economics in college. My opportunity cost is $100,000. This is the amount i would have been earning if i didn't go to college
Answer:
700
Explanation:
The condition for maximizing profits is Marginal cost = Price.
1. We need to calculate the marginal cost, which is the first derivative of the total cost function.
- marginal cost = (TC=10000+0.04q2=) '
2. Now, we equalize the MC to the price and solve for q.
0.08q=56
q=56/0.08
<h2>
q=700</h2>
Answer:
The amount that the company should include in the current liability section of the balance sheet is $16,000
Explanation:
The short-term debt that the company is refinancing with long-term debt is non-current and deferred tax liability arising from depreciation is also non-current and should be disclosed as such in the Balance sheet after the sub-heading long-term borrowings.
Therefore, The amount that the company should include in the current liability section of the balance sheet is $16,000
Answer:
Break-even point in total units= 951.7units
Explanation:
<em>Break-even point is the level of activity at which a firm must operate such that its total revenue will equal its total costs. At this point, the company makes no profit or loss</em>.
It is calculated using this formula:
<em>Break-even point (in units) = Fixed cost/ average contribution per unit</em>
<em> Blue Plaid</em>
Contribution per unit 43-30 = 13 52-45 = 7
<em>Average contribution per unit </em>
= ( (13× 4) + (7×5) )/9
= $ 9.66 per unit
<em>Break-even point in total units</em>
= $9200/$ 9.66
= 951.7units
Break-even point in total units= 951.7units
The answer is<u> "2. cluster sampling."</u>
Cluster sampling alludes to a kind of sampling technique . With cluster sampling, the scientist partitions the populace into isolated gatherings, called groups. At that point, a basic random sample of clusters is chosen from the populace. The analyst leads his investigation on information from the inspected clusters.
Contrasted with simple random sampling and stratified sampling, cluster sampling has points of interest and disservices. For instance, given equivalent example sizes, group testing normally gives less accuracy than either simple random sampling or stratified sampling. Then again, if travel costs between clusters are high, cluster sampling might be more practical than alternate strategies.
