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borishaifa [10]
3 years ago
7

On June 5, 2019, Mabel Company purchased an oil well for $850,000. The well contains an estimated $85,000 barrels of oil, with a

n estimated residual value of zero. During July, 2019, $25,500 barrels of oil were removed from the well. All of the oil went into inventory. What amount of Depletion Expense is recorded in July, 2019? (Round your final answer to the nearest dollar.)
A) $0.
B) $850,000.
C) $85,000.
D) $255,000.
Business
1 answer:
maria [59]3 years ago
6 0

Answer:

amount of Depletion = $255,000

so correct option is D) $255,000

Explanation:

given data

purchased oil well = $850,000

barrels of oil = $85,000

barrels of oil were removed = $25,500

to find out

amount of Depletion

solution

we apply here formula for amount of Depletion that is

amount of Depletion = purchased oil well × \frac{oil removed}{barrels of oil}       ............................1

put here value we get

amount of Depletion = $850,000 × \frac{25,500 }{85000l}    

amount of Depletion = $255,000

so correct option is D) $255,000

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Suppose the demand for Digital Video Recorders (DVRs) is given by Q = 250 - .25p + 4pc, where Q is the quantity of DVRs demanded
PIT_PIT [208]

The question is incomplete. Here is the complete question

Suppose the demand for Digital Video Recorders (DVRs) is given by Q = 250 - .25p + 4pc, where Q is the quantity of DVRs demanded (in 1000s), p is the price of a DVR, and pc is the price of cable television. How much does the quantity demanded for DVRs change if the p rises by $40? A) drops by 10,000 DVRs B) increases by 16,000 DVRs C) drops by 2,500 DVRs D) increases by 4,000

Answer:

Drops by 10,000 DVRs

Explanation:

The demand for digital video recorders is expressed by

Q= 250- .25p+4pc

Where

Q represents the quantity demanded by the customers

P represents the price of DVR

pc represents the price of cable television

Since the factor of p in the expression above is negative, this implies that the quantity of DVR demanded in the market will reduce

If the price of DVR increase by $40, then the quantity demanded will reduce by

= 0.25×40×1000

= 10×1000

= 10,000 units

Hence the quantity of DVRs drops by 10,000 DVRs if the price is increased to $40

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3 years ago
Astor Manufacturing stores hazardous and volatile chemicals in its warehouse. The warehouse has state-of-the-art equipment to ma
Wittaler [7]

Answer:

C. strictly liable for Will's injuries

Explanation:

In law, Strict liability is a situation when defendant is required to be responsible to a certain situation, but can't be considered as guilty to any violation.

There are two points that need to be highlighted from the case above:

1.  Astor Manufacturing process has fulfilled all of its safety regulation for storing the dangerous product.

2. The dangerous product owned by Astor Manufacturing caused William's injury.

The regulations for hazard management is created by the government, and the leak is not caused by their negligence. It's caused by unexpected natural disaster.  This is why we can't say that Astor is guilty to any violation.

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Here are returns and standard deviations for four investments. Return (%) Standard Deviation (%) Treasury bills 4.5 0 Stock P 8.
Jlenok [28]

Answer:

a. Standard deviation of the portfolio = 7.00%

b(i) Standard deviation of the portfolio = 30.00%

b(ii) Standard deviation of the portfolio = 4.00%

b(iii) Standard deviation of the portfolio = 21.40%

Explanation:

Note: This question is not complete. The complete question is therefore provided before answering the question as follows:

Here are returns and standard deviations for four investments.

                                  Return (%)           Standard Deviation (%)

Treasury bills                4.5                                    0

Stock P                          8.0                                   14

Stock Q                        17.0                                  34

Stock R                       21.5                                    26

Calculate the standard deviations of the following portfolios.

a. 50% in Treasury bills, 50% in stock P. (Enter your answer as a percent rounded to 2 decimal places.)

b. 50% each in Q and R, assuming the shares have:

i. perfect positive correlation

ii. perfect negative correlation

iii. no correlation

(Do not round intermediate calculations. Enter your answers as a percent rounded to 2 decimal places.)

The explanation to the answer is now provided as follows:

a. Calculate the standard deviations of 50% in Treasury bills, 50% in stock P. (Enter your answer as a percent rounded to 2 decimal places.)

Since there is no correlation between Treasury bills and stocks, it therefore implies that the correlation coefficient between the Treasury bills and stock P is zero.

The standard deviation between the Treasury bills and stock P can be calculated by first estimating the variance of their returns using the following formula:

Portfolio return variance = (WT^2 * SDT^2) + (WP^2 * SDP^2) + (2 * WT * SDT * WP * SDP * CFtp) ......................... (1)

Where;

WT = Weight of Stock Treasury bills = 50%

WP = Weight of Stock P = 50%

SDT = Standard deviation of Treasury bills = 0

SDP = Standard deviation of stock P = 14%

CFtp = The correlation coefficient between Treasury bills and stock P = 0.45

Substituting all the values into equation (1), we have:

Portfolio return variance = (50%^2 * 0^2) + (50%^2 * 14%^2) + (2 * 50% * 0 * 50% * 14% * 0) = 0.49%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (0.49%)^(1/2) = (0.49)^0.5 = 7.00%

b. 50% each in Q and R

To calculated the standard deviation 50% each in Q and R, we first estimate the variance using the following formula:

Portfolio return variance = (WQ^2 * SDQ^2) + (WR^2 * SDR^2) + (2 * WQ * SDQ * WR * SDR * CFqr) ......................... (2)

Where;

WQ = Weight of Stock Q = 50%

WR = Weight of Stock R = 50%

SDQ = Standard deviation of stock Q = 34%

SDR = Standard deviation of stock R = 26%

b(i). assuming the shares have perfect positive correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = 1

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * 1) = 9.00%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (9.00%)^(1/2) = (9.00%)^0.5 = 30.00%

b(ii). assuming the shares have perfect negative correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = -1

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * (-1)) = 0.16%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (0.16%)^(1/2) = (0.16%)^0.5 = 4.00%

b(iii). assuming the shares have no correlation

This implies that:

CFqr = The correlation coefficient between stocks Q and = 0

Substituting all the values into equation (2), we have:

Portfolio return variance = (50%^2 * 34%^2) + (50%^2 * 26%^2) + (2 * 50% * 34% * 50% * 26% * 0) = 4.58%

Standard deviation of the portfolio = (Portfolio return variance)^(1/2) = (4.58%)^(1/2) = (4.58%)^0.5 = 21.40%

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