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Nostrana [21]
3 years ago
8

Rhea is a self-employed professional singer. She resides in a rented apartment and uses one room exclusively as a business offic

e. This room includes 440 of the 2,200 square feet of living space in the apartment. Rhea performs in recording studios and concert halls, but she conducts all of the administrative duties with respect to the business in her home office. This year, Rhea’s apartment rent was $55,000. She paid $5,900 to a housekeeping service that cleaned the entire apartment once a week and $2,700 for renter’s insurance on the apartment furnishings. Compute Rhea’s home office deduction assuming that her net profit before the deduction was $370,000. Compute Rhea’s home office deduction assuming that her net profit before the deduction was $4,700.
Business
1 answer:
irga5000 [103]3 years ago
8 0

Answer: A - Net Profit $357,280

               B - Net Loss = $(8020)

Explanation: Rhea uses a 440 of 2200 square feet living space for her business office.

440/2200*55000 (rent) = $11,000

440/2200*5900 (house keeping =$1,180

440/2200 * 2700(insurance) =$540

Net Profit before deduction $370,000

Net profit after deduction = $370,000-$11,000-$1,180-$540 = $357,280

Net Profit before deduction $4,700

Net loss after deduction = $4,700-$11,000-$1,180-$540=$(8020)

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KiRa [710]

Explanation:

A manufacturer of computer memory chips produces chips in lots of 1000. If nothing has gone wrong in the manufacturing process, at most 7 chips each lot would be defective, but if something does go wrong, there could be far more defective chips. If something goes wrong with a given lot, they discard the entire lot. It would be prohibitively expensive to test every chip in every lot, so they want to make the decision of whether or not to discard a given lot on the basis of the number of defective chips in a simple random sample. They decide they can afford to test 100 chips from each lot. You are hired as their statistician.

There is a tradeoff between the cost of eroneously discarding a good lot, and the cost of warranty claims if a bad lot is sold. The next few problems refer to this scenario.

Problem 8. (Continues previous problem.) A type I error occurs if (Q12)

Problem 9. (Continues previous problem.) A type II error occurs if (Q13)

Problem 10. (Continues previous problem.) Under the null hypothesis, the number of defective chips in a simple random sample of size 100 has a (Q14) distribution, with parameters (Q15)

Problem 11. (Continues previous problem.) To have a chance of at most 2% of discarding a lot given that the lot is good, the test should reject if the number of defectives in the sample of size 100 is greater than or equal to (Q16)

Problem 12. (Continues previous problem.) In that case, the chance of rejecting the lot if it really has 50 defective chips is (Q17)

Problem 13. (Continues previous problem.) In the long run, the fraction of lots with 7 defectives that will get discarded erroneously by this test is (Q18)

Problem 14. (Continues previous problem.) The smallest number of defectives in the lot for which this test has at least a 98% chance of correctly detecting that the lot was bad is (Q19)

(Continues previous problem.) Suppose that whether or not a lot is good is random, that the long-run fraction of lots that are good is 95%, and that whether each lot is good is independent of whether any other lot or lots are good. Assume that the sample drawn from a lot is independent of whether the lot is good or bad. To simplify the problem even more, assume that good lots contain exactly 7 defective chips, and that bad lots contain exactly 50 defective chips.

Problem 15. (Continues previous problem.) The number of lots the manufacturer has to produce to get one good lot that is not rejected by the test has a (Q20) distribution, with parameters (Q21)

Problem 16. (Continues previous problem.) The expected number of lots the manufacturer must make to get one good lot that is not rejected by the test is (Q22)

Problem 17. (Continues previous problem.) With this test and this mix of good and bad lots, among the lots that pass the test, the long-run fraction of lots that are actually bad is (Q23)

7 0
3 years ago
Kubin company’s relevant range of production is 16,000 to 24,500 units. When it produces and sells 20,250 units, its average cos
Nezavi [6.7K]

Based on the details given, the following are true:

  • 1. Incremental manufacturing cost = $14.60
  • 2. Incremental cost = $17.50

<h3>Incremental manufacturing cost if production increased from 20,250 to 20,251</h3>

The fixed cost will not change as the production amount is still below 24,500 units. Incremental manufacturing cost will therefore be:

= Direct material + Direct labor + Variable overhead

= 7.70 + 4.70 + 2.20

= $14.60

<h3>Incremental cost for increased from 20,250 to 20,251</h3>

This will include all costs that are not fixed.

= Incremental manufacturing cost + Sales commissions + Variable admin expense

= 14.60 + 1.70 + 1.20

= $17.50

Find out more on incremental manufacturing cost at brainly.com/question/8527680.

5 0
3 years ago
g __________ conversion is the least expensive and highest risk IS conversion strategy because the old system is cut off and the
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Answer:

Direct

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Its requires fewer resources and is simple if nothing goes wrong. Risk involved mostly if the hardware and software are old or at a cutting edge.

Direct conversion is said to be an abrupt change where the the old system is simply unplugged and the new system is turned on. It does not allow users with any choice but to work with the new system. It is said to be risky and least cost.

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Answer:

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Hotel: Holiday inn

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Reason: Beutriful and popular place with good food

Transportation: Plane, Boat

Weather: Clear skys warm summer

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Additional facts: Paris is the capital of France, You ca go to the Top of the eiffel tower, The tower lights up at night.

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Explanation: Enjoy

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Answer:

The given statement is "True".

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Thus the above is the correct answer.

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