Answer: (B) Backward induction
Explanation:
The backward induction is basically used for making the decisions and it is the process of solving the various types of problems by determining the action properly.
In any type of situation, the backward induction basically used the optimal strategy type for making some effective result of the given situation.
According to the given scenario, Elly should use the backward induction process for making the decisions more effectively regarding her shop.
Therefore, Option (B) is correct.
Through promoting intra-industry trade, a country can increase levels of competition and the range of products produced in an industry with only one or two local enterprises producing a good. International trade for goods produced by the same business is known as intra-industry trade.
According to the idea of economies of scale, production costs often decrease as output scale increases. When it makes it possible for one or two large producers to supply the entire country, it becomes particularly important to international trade. A way to maintain consumer choice and competition while combining economies of scale-driven lower average manufacturing costs is through international trade.
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Answer:
Mark−up percentage = 18.75%
Explanation:
Total manufacturing cost= Direct material + Direct labor + Variable overhead + Fixed overhead
= $36 + $24 + $18 + $40
= $118
Hence, the total manufacturing cost is $118.
Total selling cost = Fixed selling cost + Variable selling cost
Total selling cost = $28 + $14
Total selling cost = $42
Hence, the total selling cost is $42
Total cost = Total Manufacturing cost + Total selling cost
Total cost = $118 + $42
Total cost = $160
Mark−up percentage = ROI / Total cost * 100
Mark−up percentage = $30 / $160 * 100
Mark−up percentage = 0.1875 * 100
Mark−up percentage = 18.75%
a.
weights = 13500+7600+14700+5500/4 = 10325
these other ones I can't type them here .if yuu want the other answers you can inbox you email so that I send you scanned answer for the all question
Answer:
Monte Carlo Simulation
Explanation:
Monte Carlo simulation refers to a methodology used in monetary, program management, expense, and other prediction frameworks to know the impact of financial risks. A Monte Carlo model allows one to see all or most of the possible results in order to get a better understanding of the probability of a judgment.
In other words, Monte Carlo approaches can also be used in theory to address any issue with a deterministic explanation. By using the law of large numbers, by getting the empirical average of individual variable tests, integrals represented by expected value of a certain independent variables can be estimated.
