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3 years ago

Buy 2 get 1 free explain why 1 free is free to the buyer not to the society

2 answers:

6 0

Oh wow i pretty sure the reason is because if you want to get one free it must be buy one it is a way for the store to make more money

AveGali [126]3 years ago

3 0

Answer:

They just charge the single item twice its worth so that why they give a second one free so it seems like its a good deal which makes people buy them

Explanation:

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Gipple Corporation makes a product that uses a material with the quantity standard of 8.2 grams per unit of output and the price

Sunny_sXe [5.5K]

Answer:

Material price variance 2830 unfavorable 

Explanation:

Material price variance

A material price variance occurs where materials are purchased at a price either lower or higher than the standard price. A favourable variance is recorded where the actual total cost of materials is lower that the standard cost. While an adverse variance implies the opposite

Standard material cost of 2 $

28,300 grams should have cost (28,300×$6.90) = 195270

but did cost (actual cost - 28,300×$7.00)= 198100

Material price variance  2830 unfavorable

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3 years ago

SSS is a local restaurant serving the needs of college students, faculty, and staff. The manager is considering adding a websit

zepelin [54]

Answer:

B.Web design

Explanation: I took the test

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3 years ago

A monopolist finds that a person’s demand for its product depends on the person’s age. The inverse demand function of someone of

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

When reconciling or balancing your checking account, which of the following correctly describes the math?

Rainbow [258]

Answer:

B) add deposits, subtract withdrawals and fees

Explanation:

A checking account is a deposit and saving account held in a financial institution, mostly a bank. The user or owner of the checking account is allowed to deposit and withdraw money as frequently as they deem necessary without incurring access fees.

Money held in a checking account is accessible using different ways, including debit cards, ATMs, and over the counter. When reconciling a checking account, one needs to subtract the sum of "money out" from "money in. "

"Money in" comprises mostly of deposits. "Money out" is the total of withdraws plus other bank charges levied to the account.

8 0

3 years ago

Livingston Fabrication has created the following aggregate plan for the next five months: August September October November Dece

Rzqust [24]

Answer:

Livingston Fabrication

The ending inventory for the month of September is:

= 600,000 units.

Explanation:

a) Data and Calculations:

August September October November December

Forecasted Demand (units of

finished goods): 1,500,000 1,500,000 2,000,000 3,000,000 500,000

Production Plan: 2,000,000 2,000,000 2,000,000 2,000,000 2,000,000

Production capacity = 150 * 60 * 1,000 = 9,000,000 minutes

Minutes required by each assembly worker to assemble 1 unit = 5

Units that can be produced based on capacity = 1,800,000 units (9,000,000/5)

Schedule of Production, Sales, and Ending Inventory:

August September October November December

Beginning inventory 0 300,000 600,000 400,000 (600,000)

Units produced 1,800,000 1,800,000 1,800,000 1,800,000 1,800,000

Demand 1,500,000 1,500,000 2,000,000 3,000,000 500,000

Ending inventory 300,000 600,000 400,000 (600,000) 700,000

8 0

3 years ago