Answer:
Applied manufacturing overhead is $4,000
Explanation:
Given,
Total manufacturing overhead = $200,000
Activity level = 10,000 DLH
Predetermined overhead rate = 
=
=$20
Manufacturing overhead applied = predetermined rate × time required
= 20 × 200
= $4,000
Therefore, manufacturing overhead of $4,000 is applied to the job.
Answer:
amount of Bad Debt Expense for 2019 = $92,000
Explanation:
A bad debt expense is a uncollectible receivable amount incurred on a credit sale to a customer, who is no longer able to pay the debt, due to bankruptcy or other financial problems. Companies make provision for these kind of credit losses in the allowance for doubtful accounts, and hence records the amount used from the allowance for doubtful accounts as the bad debt expense.
In our example, the allowance for doubtful account for 2019 is $92,000, hence since it was used to settle part of the credit losses, this becomes the bad debt expense.
Answer:
D) all of the above
Explanation:
First find the present value for each alternative using PV of perpetual cashflow formula;
PV = CF / rate
CF = 50
If rate= 5%;
PV = 50/0.05 = $1,000
If rate = 2%;
PV = 50/0.02 = $2,500
With these two calculations, we see that;
-the bond price increased by $1,500
-you could sell this bond at a capital gain, meaning you can sell it a higher price that what you bought it for.
-at an interest rate of 2%, the speculative demand for money would increase
Hence , all these choices are correct!
Answer:
Percentage change in price = -5.33 * 0.00005
Explanation:
Percentage change in price = - modified duration * (Change in yield in BP/100)
Percentage change in price = -5.33 * ((0.01/2)/100)
Percentage change in price = -5.33 * (0.005/100)
Percentage change in price = -5.33 * 0.00005
social media data may be considered a form of secondary data.
<h3>Why can we consider social media data a form of secondary data?</h3>
There are many different categories of data that may be used in data analytics. For instance, the contrast between qualitative and quantitative data is frequently used. You might also separate your data depending on aspects like sensitivity.
For instance, is it widely known or is it really private?
The source of the data is perhaps the most basic distinction between various forms of data. Are they, specifically, first-party, second-party, or third-party data? These essential data sources all contribute in some manner to the data analytics procedure.
To learn more about secondary data from given link
brainly.com/question/18118203
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