The answer is option "d", all of the above.
<span>Discretionary fiscal policy
</span><span>a. may reassure investors and consumers that the federal government will be able to avert a major economic downturn.
b. is not very effective in influencing real GDP during normal times because of time lags.
c. can be very effective in influencing real GDP during abnormal times, such as when a nation is at war.
</span>We can define discretionary fiscal policy as when there is a change in government expenditures or taxes to gain national economic goals.
It takes ur money out and away
Answer:
in this scenario, susan and sam has not done any wrong things.
but Martin has manipulated sam to take revenge from susan for firing him.
so in this case, no susan is not obliged to pay. she can take action against martin and after proving in a court of law about martin's manipulation, he will be liable to pay.
Explanation:
Answer:
The answer is below
Explanation:
Both General ethics and Applied Ethics are part of philosophical knowledge in understanding humans and their society.
Hence, the difference between general and applied ethics is:
General ethics is a philosophical term that is used to describe the theory of values in human activities. It deals with answering the controversial questions of human morality by establishing the idea of good and evil, right and wrong.
On the other hand, Applied Ethics is a term used in philosophy to describe a branch of ethics that is established to answer the issue of moral dilemmas, strategies, and operations in individuals' life, organizations, technology, and state.
Answer: C. Law of Large Numbers
Explanation:
The law of large numbers, posits that as the sample size grows, the mean of the samples will be closer to the average that's meant for the entire population.
According to the law of large numbers, when an experiment is repeated so many times, and then the results are averaged, the value that one gets will be close to the expected value.
In insurance, the more companies that are insured by the insurance company, the more likely they will b able to predict the percentage of losses over a given period of time.
