Product Y: would increase the company's overall net operating income by $2,000 if processed further and then sold.
Option 4 is correct
<u>Solution:</u>
Particulars Amount
Incremental income ( $68,000-$50,000) $18,000
Less: Incremental cost $16,000
______________________________________________
Incremental Income $2,000
Answer:
$5,776
Explanation:
the journal entry to record the issuance of the bonds:
January 1, 202x
Dr Cash 73,720
Dr Discount on bonds payable 2,280
Cr Bonds payable 76,000
coupon = $76,000 x 7% x 1/2 = $2,660
discount on bonds payable per coupon = $2,280 / 10 = $228
Journal entry to record coupon payment:
June 30 and December 31, 202x
Dr Interest expense 2,888 x 2 = 5,776
Cr Cash 2,660 x 2 = 5,320
Cr Discount on bonds payable 228 x 2 = 456
Answer:
Pay the claim and the accident occurred during the grace period
Explanation:
Grace period is the period or the set length of the time after the due date during that the payment is to be made without any penalty by the insurer or the person.
The grace period mostly is of 15 days and it is usually involves in the insurance contact and the mortgage loan.
So, in this case, the insurer forget to pay the premium but on march 19, she met with an accident and broke her leg, then the insurance company will be paying the claim as the accident happened during the grace period.
Answer: Service and Information.
Explanation:
The Knot provides different services that is related to planning a wedding. It also provides information for starting your life as a married couple. The different services and information offered are:
-Recommendations for several wedding related things
-Establish website that acts as a registry
-Providing information on how to begin life as a married couple
Answer:
Explanation:
A Supervised learning allows you to collect data or produce a data output from the previous experience while an unsupervised learning you do not need to supervise the model.
A. Deciding whether to issue a loan to an applicant based on demographic and financial data (with reference to a database of similar data on prior customers). - Supervised learning
B. In an online bookstore, making recommendations to customers concerning additional items to buy based on the buying patterns in prior transactions. - Unsupervised learning
c. Identifying a network data packet as dangerous (virus, hacker attack) based on comparison to other packets whose threat status is known - Supervised learning
d. Identifying segments of similar customers. - Unsupervised learning
e. Predicting whether a company will go bankrupt based on comparing its financial data to those of similar bankrupt and nonbankrupt firms. - Supervised learning
f. Estimating the repair time required for an aircraft based on a trouble ticket. - supervised learning
g. Automated sorting of mail by zip code scanning. - Supervised learning
H. Printing of custom discount coupons at the conclusion of a grocery store checkout based on what you just bought and what others have bought previously - Unsupervised learning
