Answer:
<u>Company's total inventory</u> 30,850
Camaras: 10,960
Camcorders: 8,850
DVDs: 11,040
Explanation:
<u>Camaras: </u>
cost: 10,960
net realizable value: 12,060
<u>Camcorders: </u>
cost: 8,850
net realizable value: 9,170
<u>DVDs: </u>
cost: 12,100
net realizable value: 11,040
<u>Company's total inventory</u>
10,960 + 8,850 + 11,040 = 30,850
We must pick between the historic cost or the net realizable value the lower. The reasoning behind this is the conservatism accounting principle to keep the assets valued at minimum.
Answer:
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Answer:
Law of Diminishing Marginal Utility
Explanation:
The Law Of Diminishing Marginal Utility states that all things being equal as consumption rises the marginal utility derived from additional unit of consumption falls.
Monetary policy does not require congressional approval, it is more flexible than fiscal policy. Conversely, monetary policy has a propensity to increase inflation more than fiscal policy.
A country's central bank uses a set of instruments called monetary policy to regulate the total amount of money in circulation, foster economic expansion, and implement measures like adjusting interest rates and altering bank reserve requirements.
The Federal Reserve Bank of the United States carries out a monetary policy under a twin mandate to maximise employment while containing inflation.
A nation's overall money supply is managed by monetary policy, which also aims to promote economic growth.
Interest rate changes and adjustments to bank reserve requirements are examples of monetary policy strategies.
Learn more about monetary policy here:
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The statement in the question is True.
<u>Explanation:</u>
In statistics, the residual sum of squares (RSS), otherwise called the sum of squared residuals (SSR) or the total of squared estimate of errors (SSE), is the aggregate of the squares of residuals (deviations anticipated from real observational estimations of information). It is a proportion of the error between the information and an estimation model.
A little RSS demonstrates a tight attack of the model to the information. It is utilized as an optimality standard in parameter determination and model choice.