Answer:
(A) A component lifestyle.
Explanation:
Component lifestyle:-It is choosing goods and services that fulfills one's various needs and interests rather than following a single, traditional stereotype.
So according to the question Ruth is a person having various interests and also a police officer by profession.So she has very diverse needs and interest and they affects her choice of goods and services because she wants goods and services that meet's her diverse needs.So her lifestyle is component.
Answer:
See below
Explanation:
From the above information, we can deduce that the stock owned by Carol and Dave falls in value by $2,000 I.e ($10,000 - $8,000) ; it is to be noted that Carol solely has realised and recognized loss of $2,000.
Here, one of the cogent factors that determines whether a sale has taken place is if realization has been effected. Here, stock sold by Carol qualifies as a disposition while the decline in the value of stock sold by Dave does not qualify as disposition.
With regards to the foregoing, we can conclude that the federal income tax law treat the decline in the value of the stock differently for Carol and Dave.
Answer:
satisficing
Explanation:
Satisficing is a combination of "satisfy" and "suffice" (or enough). It refers to a situation where instead of trying to reach a completely satisfying solution, you just settle for a relatively good or a so-so solution.
Personally I believe it is something that borders mediocrity, since you should either do something right or do not do it at all. It is like doing something that might work, but not completely.
Answer:
D. 25.80 percent
Explanation:
The formula to compute the effective annual rate of the loan is shown below:
= (1 + annual interest rate ÷ periods)^ number of period - 1
= (1 + 23% ÷ 52)^52 - 1
= (1 + 00442)^52 - 1
= 1.00442^52 - 1
= 1.2579618615 - 1
= 25.80%
There are 52 weeks in a year and we considered the same in the above calculation
Qualitative forecasting model is a subjective technique based on opinions, judgement, emotions and personal experiences of consumers, used to forecast future data as a past function. This method does not rely on any mathematical computations or calculations. It is mainly used when a situation is vague or little data exists about a new product or technology.
