Answer:
Finished goods inventory final balance= 12, 495
Explanation:
PRODUCTION COST COMPONENTS
- Direct materials 12,385
- Direct work 10,600
- Lease and utilities 9,600
TOTAL PRODUCTION COST = 32,585
TOTAL UNITS PRODUCED = 6,650
UNIT COST= (Total Production Cost / Total Units Produced) = 32,585 / 6,650 = 4.9
FINAL GOODS INVENTORY = (Total Units Produced – Total Units Sales) = 6,650 – 4,100 = 2,250
FINAL GOODS INVENTORY AMOUNT = (Final goods Inventory * Unit Cost) = 2,250 * 4.9 = 12,495
Answer:
Usage Rate.
Explanation:
A company is targeting consumers who have not purchased its products for several months. It is segmenting the consumer market based on usage rate. It is one of the type of behavioral segmentation where markets are segmented on the basis of consumers knowledge, response towards product, usage rate and attitude. Marketers divide the markets into nonusers, ex-users, potential users, first time users and regular users in order to target them accordingly.
Answer:
fees paid at the end of a real estate transaction.
Answer: True
Explanation:
SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis is very popular because even though it appears simple, it can have such a massive impact on a company because it alerts Management to opportunities that exist to take the firm forward.
It also speaks to the company on ways to converge strategies that aim to harness the strengths or weaknesses in a Firm's INTERNAL and EXTERNAL environment with the aformentioned OPPORTUNITIES and THREATS thereby leading to a COMPLETE decision making process and result that can serve to push the company to be Proactive in taking strides that will grow the company.
SWOT analysis is a pure example of, "Simplicity is the ultimate Sophistication".
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