Answer:
D. job satisfaction
Explanation:
Job satisfaction measures how contented a staff is with his job. It measures how the employee feels about his job.
Mitch likes his job, his co workers and his salary. Mitch is likely to have a high job satisfaction
I hope my answer helps you
Answer:
The bridge 's owner has a natural monopoly, and the marginal production cost (letting another car drive through it) is close to nil.
Explanation:
Since building several bridges to compete is inefficient, but building one bridge at a lower average cost to customers would be effective. If the private monopolist builds the bridge it can charge customers exceptionally high prices.
There is a high fixed cost involved with constructing a bridge. Hence constructing a bridge is a mere privilege. Furthermore, there is no extra cost to allow another car to cross the bridge. It means that the marginal cost is zero or closer.
This is not a good investment and Charles should hold his plan of selling his bicycle Beijing and in China. For example, if Charles sold his bicycle horn for $3.00, this would need a 6.42*3 which is equal to 19.26 Chinese yuan.
Answer:
a. 28390
Explanation:
Stockholders cash flow is the net of cash inflows from stockholders and cash outflows to stockholders.
Net Income = $129,650
Payout Ratio = 40%
Cash outflow
Amount of Dividend Paid = $129,650 x 40% = $51,860
Cash Inflow
Common stock issue = $80,250
Net Stockholder's cash flow = $80,250 - $51,860
Net Stockholder's cash flow = $28,390
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
