Answer :
Number board feet of lumber = 54,530
Explanation :
As per the data given in the question,
Number board feet of lumber to buy in June = Number of units to be produced + Ending inventory required - Opening inventory needed
= (2,000 cases × 28 board feet of lumber per case) + (1,850 cases × 35% × 28 board feet to lumber per case) - (2,000 cases × 35% × 28 board feet of lumber per case)
=56,000 board feet + 18,130 board feet - 19,600 board feet
= 54,530 board feet of lumber
We simply applied the above formula
The risks and challenges associated with performing so many hypothesis tests nearly all null hypotheses are false on a priori grounds.
A hypothesis is a supposition, an idea put forward for the purpose of discussion, that can be tested to see if it is true. Hypotheses are formed before the is implemented.
Hypotheses are usually written as if/then statements. B. If someone eats a lot of sugar, they will get cavities in their teeth. These statements identify a particular variable (in this case, eating a lot of sugar) and imply an outcome (in this case, the tooth develops cavities).
Hypotheses are used to define the relationship between two variables in an experiment. The purpose of a hypothesis is to find an answer to a question. Formalized hypotheses make us think about what kind of results we should be looking for in our experiments. The first variable is called the independent variable.
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Answer:
(d)$105,000.
Explanation:
Since the book value is more than the generated future cash flows so book value cannot be recovered. In this case, the generated future cash flows are ignored
In this scenario, we compare the values between book value and the fair value of machinery, the difference would be the loss on impairment of the asset
In mathematically,
= Book value of machinery - fair value of machinery
= $520,000 - $415,000
= $105,000
Answer:
When ATC curve is decreasing, we know that the MC curve is
below the ATC curve, and when the ATC curve is increasing, we know that MC is above the ATC curve
Explanation:
ATC refers to average total cost and MC refers to marginal cost, these both curve derive from total cost when MC is below ATC curve it shows that MC is less than ATC at that point ATC is falling.
Likewise, when MC is above ATC curve it shows MC is grater than ATC curve and at that point ATC is rising.
furthermore, when MC is equal to ATC at that point ATC is at minimum point.
