Answer:
The benefit cost ratio is 1.564
Explanation:
The benefit-cost ratio is the ratio of the present value of benefits to the present value of costs. It is thus calculated as follows.
Benefit-cost ratio = Present value of benefits / Present value of costs
Present value of costs = $20,000 + $2,500 (P/A, 10%, 10 years)
= $20,000 + $15,361
= $35,361
Present value of benefits = $9,000 (P/A, 10%, 10 years)
= $9,000 x 6.145
= $55,305
Benefit-cost ratio = $55,305 / $35,361
= 1.564
Answer:
It seems that someinformation is missing, nevertheless, it is possible to calculate the market value of the firm if you have the total number of shares.
Explanation:
In this case, if the question says that the "outstanding shares" haven't changed, it means that the total number of shares neither, therefore it is possible to get the market value by multiplying $180 (the stock price for 1 share) per the total number of shares
Answer: um... Imma say 6 i guess i don't really know
Explanation:
Answer:
The answer is A. Mutual mistake
Explanation:
A contract is an agreement ( whether written or verbal ) between two parties that is legally binding.
A mutual mistake occur in a contract when both parties to a contract are mistaken about a material fact. It is a situation where the parties to a contract have identical misconception about a material fact in the contract.
In the explanation given in the contract between Randolf and the Art gallery manager, it is obvious that the art painting that is to be bought and sold was not well clarified by both parties, and the art manager acted based on an invalid assumption.
Hence the correct answer to this question is A. Mutual mistake
Answer:
The answer is NO. The experimental results did not support the claim that less than 0.2 percent of the company's batteries would fail during the advertised time period.
Explanation:
From the illustration, for 15 batteries to fail out of 5000 batteries that means a 0.3 percent failure. Hypothetically, since there has been a claim that about 0.2 per cent will fail and we now have a confirmed failure rate of 15 in 5000 or 0.3 per cent rate, then we can infer that the hypothesis of 0.2 percent may be incorrect after all since it is still less than the confirmed rate of 0.3 per cent failure. Thus, since 0.3 rate is higher than 0.2 rate, then the hypothesis is wrong by a margin of 0.1 percent.
