Answer: $7,575
Explanation:
Based on the information given in the question, the amount of the estimated average income for a proposed investment will be calculated as:
= Expected total income yield / Number of years
= $30300/4
= $7,575
Therefore, the amount of the estimated average income for the proposed investment is $7575.
Answer:
b) 1,250,000
Explanation:
1,000,000+ 250,000 = 1,250,000
Answer:
1. False
2. Shortage; Larger
Explanation:
1. A binding price ceiling is one that prevents the market from reaching its equilibrium. In this market, the equilibrium price is $25 therefore anything below $25 will be binding. A price ceiling below $25 per box is a binding ceiling.
2<em>. Assuming that the long-run demand for oranges is the same as the short-run demand, you would expect a binding price ceiling to result in a </em><em><u>shortage</u></em><em> that is </em><em><u>larger</u></em><em> in the long run than in the short run.</em>
In the long run, supply is more sensitive because farmers can decide to plant oranges on their land, to plant something else, or to sell their land altogether.
This means that a price ceiling in the long run will be less attractive to farmers so they might leave the market. If they do this then the shortage will be more as there are now less supplies in the market.
Answer:
The value of the difference between the earnings per share (EPS) forecasts for Feast and Famine is $2.40
Explanation:
The solution is as evident in the attached Excel Sheet. In the excel sheet the formulas are used which are also given in the second sheet.
For the data values from the question are used.
Answer:
A. 4; 3.83 units per hour
B. Increases by 4.44%.
Explanation:
Given that,
Current period:
Output = 160 units
Input = 40 hours
Previous period:
Output = 138 units
Input = 36 hours
A. Current period productivity:
= Current period output ÷ Current period input
= 160 units ÷ 40 hours
= 4 units per hour
Previous period productivity:
= Previous period output ÷ Previous period input
= 138 units ÷ 36 hours
= 3.83 units per hour
B. Percentage change in worker's productivity:
= [(change in productivity) ÷ Previous period productivity] × 100
= [(4 - 3.83) ÷ 3.83] × 100
= (0.17 ÷ 3.83) × 100
= 0.0444 × 100
= 4.44%
Therefore, the worker's productivity increases by 4.44%.