Lower; unchanged
- Average total cost (ATC) in economics is calculated as total fixed and variable costs divided by the number of units produced. The normal shape of the average total cost curve is a U, meaning it drops, bottoms out, and then rises. The total cost of an organization is the sum of its fixed and variable costs.
- The vertical summation of AFC and AVC must be obtained in order to graph average total costs (ATC). Plot the points as shown on the left after adding the two at each output level. Because it is the result of adding the AFC and AVC curves, the ATC curve is higher than the other two. You can see that it is U-shaped, just like the AVC curve, on the left.
Thus this is the answer.
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Answer:
1) $240 warranty expense
2) $240 warranty liaiblity
3) zero as decreases the warranty laibility
4) 240 beginning - 209 used = 31 ending
5)
cash 6,000 debit
sales revenues 6,000 credit
--to record sale--
warranty expense 240 debit
warranty liability 240 credit
--to record prevision for warranty expenses--
warranty liability 209 debit
inventory 209 credit
--to record use of the warranty from the customer--
Explanation:
1) sales x expected warranty = 6,000 x 0.04 = 240
2) it will be for the 240 as the accounting works with double-entry
Answer:
3.5%
Explanation:
We will apply asset pricing model to calculate cost of equity (required rate of return). The capital asset pricing model is stated as below:
Cost of equity = Risk-free rate + Beta x Market risk premium
Putting all the number together, we have:
Cost of equity (Beale) = 5.5% + 1.8 x (9% - 5.5%) = 11.8%
Cost of equity (Foley) = 5.5% + 0.8 x (9% - 5.5%) = 8.3%
Cost of equity (Beale) - Cost of equity (Foley) = 11.8% - 8.3% = 3.5%
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<em>Note: You can also do quick calculation as below:</em>
<em>Cost of equity (Beale) - Cost of equity (Foley) = (Beta of Beale - Bete of Foley) x Market risk premium = (1.8 - 0.8) x (9% - 5.5%) = 3.5%</em>
If the amount of variability due to within-group differences is equal to the amount of variability due to between-group differences, your F value will be equal to one (1).
<h3>What is the F value?</h3>
In biology, the F value is a statistic used to estimate the variation level between different groups that can be explained by collected data.
The F value is used to test (either confirm or reject) a given explanation of data, which is known as the null hypothesis.
In conclusion, if the amount of variability due to within-group differences is equal to the amount of variability due to between-group differences, your F value will be equal to one (1).
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