Answer:
Comment for statement A - The firm must still compare the IRR with the opportunity cost of capital when using the IRR rule. Therefore, even with the IRR method, the appropriate discount rate must still be specified.
Comment for statement B - There should be a higher discount rate on risky cash flows than the rate used to discount less risky cash flows.
Making use of the payback rule is equivalent to using the NPV rule with a zero discount rate for cash flows before the payback period and an infinite discount rate for cash flows thereafter.
Explanation:
a)
“I like the IRR rule. I can use it to rank projects without having to specify a discount rate”
The firm must still compare the IRR with the opportunity cost of capital when using the IRR rule. Therefore, even with the IRR method, the appropriate discount rate must still be specified.
b.
“I like the payback rule. As long as the minimum payback period is short, the rule makes sure that the company takes no borderline projects. That reduces risk”
There should be a higher discount rate on risky cash flows than the rate used to discount less risky cash flows.
Making use of the payback rule is equivalent to using the NPV rule with a zero discount rate for cash flows before the payback period and an infinite discount rate for cash flows thereafter.
Answer:
this is ez
Explanation:
answer is. Title transfers at FOB point. Both the 25,000 and the 22,000 should be added to Dec 31 inventory.
Answer:
Closing Inventory would be standing at $10000
Explanation:
The cost that forms part of the cost of inventory are all those production costs that are necessary to convert it into finished goods which in this case is:
Production cost = All direct costs are production costs
And
All Direct Cost = $7000 Direct Mat + $9500 Production Workers Wages + $8500 Direct Utilities bills = $25000
And the production cost incurred was for 5000 units which means the unit production cost was $5 ($25000 / 5000 units).
So closing inventory value would be = 2000 closing inventory units * $5
= $10000
Below are the <span> two reasons why the data might not support the hypothesis:
</span><span>
1) The hypothesis was wrong
2) The data is wrong
A hypothesis is a proposed thought that may clarify a perception or marvels. It is confirmed by testing it. In the event that the information bolsters the theory, at that point, we view the speculation as checked and genuine. Assuming, be that as it may, the information does not bolster the speculation or discredits it, at that point the theory is in a bad position, and we need to concoct an alternate speculation to clarify the perceptions.
</span>
The appropriate response is Affective. This part manages sentiments or feelings that are conveyed to the surface about something, for example, dread or despise. Utilizing our above illustration, somebody may have the disposition that they despise young people since they are languid or that they cherish all infants since they are adorable.
