This statement June advances an inductive argument is know to be true from what is presented above
Explanation:
A strong argument is an inductive reasoning that is meant to be strong enough to make it impossible for the conclusion to have been false whether the premises were correct.
Therefore, success or effectiveness of an inductive argument is, unlike deductive argument, a matter of perspective.
Inductive arguments should take vast forms. Some people have the form of making claims on a population or only based on information from either a sample, a subset. Some mediated arguments draw conclusions through an appeal, authority or causal relationship.
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The unit that is used in the denominator is the one to cancels the unit that appears in a numerator.
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Answer:
$42,480
Explanation:
Given that,
Value of bonds = $800,000
Interest rate = 10%
Selling price of bond (Book value) = $708,000
Priced to yield = 12%
The semi-annual yield is calculated as follows:
= 12% / 2 (because the interest is payable semiannually on June 30 and December 31)
= 6%
Therefore, the semi-annual bond interest expense:
= Selling price of bond × semi-annual yield
= $708,000 × 6%
= $42,480
Hence, the Blair should report bond interest expense for the six months ended June 30, 2021 in the amount of $42,480.
But the actual cash paid for the interest expense will be:
= (Value of bonds × Interest rate on bonds)
= [$800,000 × (10%/2)]
= $800,000 × 5%
= $40,000
So, the amortization for bond discount is the difference between actual cash paid and bond interest expense:
= $42,480 - $40,000
= $2,480
<span>Quality Control Inspectors need to keep accurate records of products checked, sometimes carrying out a statistical analysis. They often produce written reports for the production team and have regular meetings to discuss how quality standards can be maintained, or highlight problem areas that require review.</span>
Answer:
358.33 times
Explanation:
The computation of the simple forecast combination is shown below:
= (Forecast sales done by Mary + Forecast sales done by Susan + Forecast sales done by Sarah) ÷ (Total number of observations)
= (341 + 535 + 199) ÷ (3)
= (1,075) ÷ (3)
= 358.33 times
We simply divided the total sales forecasted done by each one by the total number of observations
