Answer:
$234,000
Explanation:
cost of goods manufactured = beginning work in process + direct materials + direct labor + manufacturing overhead cost applied - ending work in process
cost of goods manufactured = $25,000 + $65,000 + $95,000 + $69,000 - $20,000 = $234,000
cost of goods sold = beginning finished inventory + cost of goods manufactured - ending finished inventory + underapplied overhead
cost of goods sold = $54,000 + $234,000 - $58,000 + $2,000 = $232,000
Answer:
$1,594,000
Explanation:
Calculation to determine what The interest capitalized for 2020 was
2020 interest capitalized= $3,200,000* 12%*11/12 + $13,800,000 * 9%
2020 interest capitalized=$352,000+$1,242,000
2020 interest capitalized=$1,594,000
Therefore The interest capitalized for 2020 was $1,594,000
The incentive will cause you to
go bankrupt. When you have some materials at home including poster board,
construction paper, markers, and colored pencils and you want to earn some
extra money, you have to take note of the desires of your consumer. Usually,
they choose cheap and effective material rather than the costly. In here, the
consumers are not interested in the banner that you made because it may be
expensive.
Answer:
Costs that have already been incurred
Explanation:
Sunk costs are costs already incurred which are irrecoverable. These costs will stay the same irrespective of business actions and are also not considered for business decision in the future as they are deemed irrelevant .
If an organization wants to decide on business actions, they make use of relevant costs as they are cost meant for the future and will still be incurred. Revenue and cost that varies are only considered by organization to make a decision.
Example of sunk cost is money spent on rent. This money incurred cannot be recovered once it has been paid.
Answer:
The correct answer is letter "C": it yields a larger variety of solutions than generally available using an LP method.
Explanation:
In Goal Programming (GP), the MINIMAX objective aims to minimize the maximum deviation from any type of objective. This approach carries a larger number of solutions compared to the Linear Programming (LP) method which mainly focuses on assigning more weight to each goal in the objective function.
