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3 years ago

PLEASE HELP FAST!!!

1 answer:

4 0

Forecasting is like Foreshadowing telling or predicting what may happen.

it could not be B Because you already have your budget because, without a budget you can not go forth with your plans.

C is not because, it is potential you should calculate it but, altogether is not in your revenue which is something that comes altogether but, this is just a part of the full revenue.

And D. This is something specific you cannot just pay attention to not just expenses but what you earn, what budget and etc.

Altogether leaving A because, you are gathering information and does not tell you what type but, financial which means 'all' activities of Financing and Planning will help with Revenue to protect it and, to get it to the point in which you want it to get to a goal or past a goal and etc.

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Which consumer electronics manufacturer also produced tires? nokia sharp phillips grundig

Ainat [17]

Nokia produced tires
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3 years ago

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sashaice [31]

Answer:

The correct answer is letter "B": AVERAGEIFS.

Explanation:

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3 years ago

Slapshot Company makes ice hockey sticks. During the month of June, 1,900 sticks were completed at a cost of goods manufactured

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4 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)

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3 years ago

Martinez Company sells goods to Danone Inc. by accepting a note receivable on January 2, 2020. The goods have a sales price of $

Artemon [7]

Answer:

Martinez Company

a) Journal Entries

Jan. 2, 2020:

Debit Accounts Receivable (Danone Inc.) $630,000

Credit Cash Discounts $9,100

Credit Sales Revenue $639,100

To record the sale of goods on account, with trade terms, 5 days $9,100, net 30.

Debit Cost of goods sold $480,000

Credit Inventory $480,000

To record the cost of goods sold.

Jan. 28, 2020:

Debit Cash $639,100

Credit Accounts Receivable (Danone Inc.) $630,000

Credit Cash Discounts $9,100

To record the full receipt of cash on account and the revision of the cash discounts not taken.

Explanation:

a) Data and Analysis:

Jan. 2, 2020:

Accounts Receivable $630,000 Cash Discounts $9,100 Sales Revenue $639,100, terms, 5 days $9,100, net 30.

Cost of goods sold $480,000 Inventory $480,000

Jan. 28, 2020:

Cash $639,100 Accounts Receivable $630,000 Cash Discounts $9,100

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3 years ago