Answer:
The closest answer is 49.
Explanation:
Given that,
Annual demand, D = 43,000 units
Ordering cost, O = $200
Per unit cost of the item = $50
Annual holding cost, H = annual holding rate × Per unit cost of the item
= 35% × $50
= $17.5
= 991.39
= 992 units
Therefore,
Number of orders per year = Annual demand ÷ EOQ
= 43,000 ÷ 992
= 43.34
Hence, the closest answer is 49 and this is not given in the question.
Answer:
A. $26,100
B. $15,660
Explanation:
Calculation to determine Logan recognized gain
A. Based on the information given in a situation where Johnathan's land is worth the amount of $123,975, Logan's recognized gain will be the amount of $26,100 which is the lesser of the amount realized as gain ($156,600 realized amount − $130,500 adjusted basis = $26,100) or the fairmarket value of the boot received amount of ($32,625)
Therefore Logan recognized gain will be $26,100
B. Based on the information given Ina situation were Johnathan's land is worth the amount of $140,940, Logan's recognized gain will be the amount of $15,660, the lesser of th amount realized as gain ($156,600 realized amount − $130,500 adjusted basis = $26,100) or the fairmarket value of the boot received of the amount of ($15,660).
Therefore Logan recognized gain will be $15,660
The correct option is B
<u>Explanation:</u>
In an economy, planned investment spending is always equal to planned saving. If actual saving falls short of (exceeds) planned saving, then actual investment falls short of (exceeds) planned investment.
That is the other part of the saving paradox. If an economy produces too much, such that saving is greater than planned investment, inventory will build up, giving signal to producers to reduce output, to restore equilibrium. Such investment scheme is suitable only to communist countries. Keynes has another investment theory in his liquidity story. But investment theories are equally a posterior.
Therefore, Option B is correct
Answer:
The answer is: A) degree to which the data is an accurate portrait of the target population.
Explanation:
To explain data generalizability I like to use election polls as an example. There are over 200 million voters in the US, and polls only cover a few thousands of voters, it is impossible to survey the whole population. Data generalizability refers to how well does the election polls reflect the real outcome of an election. Can the data sample used in the polls serve as a true parameter to know the real outcome of the election? Some polls are accurate and others aren't, accurate polls have high data generalizability.
