Answer:
(a)
TC(q) [before expansion] = Fixed Cost + Variable Cost
= 750,000 + 1.25q
TC(q) [after expansion] = (750,000 + 350,000) + 0.75q
= 1,100,000 + 0.75q
(b) (i) q = 600,000
TC(q) [before expansion] = 750,000 + (1.25 × 600,000)
= 750,000 + 750,000
= 1,500,000
TC(q) [after expansion] = 1,100,000 + (0.75 × 600,000)
= 1,100,000 + 450,000
= 1,550,000
Since expansion will increase total cost, profit will fall ceteris paribus. So firm should not expand.
(ii) q = 800,000
TC(q) [before expansion] = 750,000 + 1.25 × 800,000
= 750,000 + 1,000,000
= 1,750,000
TC(q) [after expansion] = 1,100,000 + (0.75 × 800,000)
= 1,100,000 + 600,000
= 1,700,000
Since expansion will decrease total cost, profit will rise ceteris paribus. So firm should expand.
Answer:
Mark-up percentage= 87.55%
Explanation:
Giving the following information:
Purchased price= $15.99
Selling price= $29.99
<u>To calculate the mak up percentage, we need to use the following formula:</u>
Mark-up percentage= [(selling price - purchase price)/purchase price]*100
Mark-up percentage= [(29.99 - 15.99)/15.99]*100
Mark-up percentage= 87.55%
Answer:
Partitioning a physical server into smaller virtual servers.
Explanation:
Basically, rather than having a physical hardware within the company to store information, server virtualization allow companies to store that information on a hosted offsite server
By doing this, company can obtain several benefits, such as:
- the companies could reduce cost by using less hardware.
- The company could recover data faster in case there is some sort of disaster that destroyed their office
- The server can be set up faster compared to physical server
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Answer:
Explanation:
The claim is not 100% correct, a better one is: 84.55% of our surveyed employees are 'very happy' working here. Because:
All the peple who responed to the survey is only a part of the entire population.
The proportion of respondents are "very happy" is the a sample statistics meanwhile the proportion of all workers that are "very happy" is the population parameter.
Since a sample statistics estimates the population parameter, they may be closed to the valua but are most likely not equal