Answer:
The answer is B
Explanation:
When nobody wants the product, the product builds up until there is so much the product becomes cheaper. This is because the product is not scarce anymore.
Answer:
Schedule of cost of goods manufactured & Sold
Particulars Amount
Direct materials used $15
Direct labor $20
Factory overhead Applied <u>$30</u>
(150% of DL Cost)
Total manufacturing costs $65
Add: Beginning WIP <u>$25</u>
Total cost of work in process $90
Less: Ending WIP <u>$10</u>
Cost of goods manufactured <u>$80</u>
Particulars Amount
Cost of goods manufactured $80
Add: Beginning finished goods inventory <u>$5</u>
Cost of goods available for sale $85
Less: Ending finished goods inventory <u>$15</u>
Cost of goods sold <u>$70</u>
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Answer: Account A
Explanation:
Account A would be best for James as it provides the most value for the things he would like to do.
- ATM charges are free with this account so he can use the ATM four times in the month at no charge
- He would pay no monthly fees as he uses direct debit
- He would pay an annual fee of $0
- And as online payments are free, he would not have to worry about getting charged for the 8 bills to process in the month.
Answer:
The journal entry for J. Laney to record this transaction is
Dr legal expenses $12,990
______Cr Common stock $3,100
_______Cr Share premium $8,990
Explanation:
The common stocks are carried at par value of $1. This implies that any price paid in excess of the par value is made provision for in the share premium account.
Again, the common stocks issued are measured at the price required to settle the legal expenses and are paid in excess of par value of $1.
Share premium = ($3.90 - $1) × 3,100
Share premium = $8,990
Answer:
The answer is NO. The experimental results did not support the claim that less than 0.2 percent of the company's batteries would fail during the advertised time period.
Explanation:
From the illustration, for 15 batteries to fail out of 5000 batteries that means a 0.3 percent failure. Hypothetically, since there has been a claim that about 0.2 per cent will fail and we now have a confirmed failure rate of 15 in 5000 or 0.3 per cent rate, then we can infer that the hypothesis of 0.2 percent may be incorrect after all since it is still less than the confirmed rate of 0.3 per cent failure. Thus, since 0.3 rate is higher than 0.2 rate, then the hypothesis is wrong by a margin of 0.1 percent.