Answer: Value stream mapping
Explanation:
Value stream map is a visual representation of the steps that were taken in a process from the start of the process till the moment it gets to the customer.
The technique is used in the identificstion of all of the value-adding as well as non-value-adding processes that materials are subjected to within a plant, from raw material coming into the plant through delivery to the customer.
Answer:
Omar should get budgeting advice from a consumer credit counselor
Explanation:
It is apparent from the question that Omar is having a financial problems as he is finding it difficult to meet up with his student loan and credit cards repayment plan.
It is advisable at this point that he should engage the service of a consumer credit counselor for budgeting advice to improve on his situation.
Consumer credit counselling service is a form of service that help to proffer solution to financial problems through financial education , budgeting assistance and debt management.
6800*.64= 4352
Ernesto payed $ 4352 in tax
Answer:
Explanation:
1. The computation is shown below:
State unemployment = $10,000 × 4.2% = $420
Federal unemployment = $10,000 × 0.8% = $80
2. The journal entry is shown below:
Payroll tax expense A/c Dr $38,975
To Social security tax A/c $30,300 ($505,000 × 6.0%)
To Medicate tax A/c $8,175 ($545,000 × 1.5%)
To State Unemployment tax payable A/c $420
To Federal Unemployment tax payable A/c $80
(Being the payroll tax expense is recorded)
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
