Answer: Wholesaler
Explanation:
Television Haven buys televisions from a manufacturer and then sells them to department stores. Television Haven is most likely a wholesaler.
A wholesaler involves someone who buys goods from the manufacturer or producer in bulk, that is large quantities and then sell to the retailers after which the retailer then sells to the consumers
Here, Television Haven is a whilesaler while the department store is a retailer.
Answer:
sunk cost.
Explanation:
Sunk cost can be defined as a cost or an amount of money that has been spent on something in the past and as such cannot be recovered. Thus, because a sunk cost has been incurred by an individual or organization it can't be recovered and as such it is irrelevant in the decision-making process such as investments, projects etc.
Basically, sunk costs are referred to as fixed costs.
Sunk costs are the opposite of relevant costs because they can't be changed or recovered, as they've been spent or contracted in the past already. Hence, relevant cost are relevant for decision-making purposes but not sunk costs.
Hence, a cost incurred in the past that is not relevant to any current decision is classified as a sunk cost.
For example, ABC investors decide to acquire land and develop residential houses at a location X. This decision is informed on the fact that the government had recently enacted a policy that led to an increase in demand for residential properties in that location. 6 months into construction of the residential houses, the government reviews and rescinds the policy. This leads to a sharp decline in property values in location X. ABC investors had already incurred 10 million dollars in the project. The 10 million dollars is considered sunk cost.
Answer:
valuable to a firm even though liquid assets tend to be less profitable to own
Explanation:
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
