Answer:
wages and prices are often inflexible in the downward direction.
Explanation:
John Maynard Keynes was a British economist born on the 5th of June, 1883 in Cambridge, England. He was famous for his brilliant ideas on government economic policy and macroeconomics which is known as the Keynesian theory. He later died on the 23rd of April, 1946 in Sussex, England.
Keynes believed that wages and prices are often inflexible in the downward direction.
In Economics, when there are monetary disturbances and a great level of macroeconomic factors in the economy of a particular country, this usually result in prices of goods and services being sticky.
Answer: evoked set
Explanation:
In simple words, evoked set refers to the collection of brands that initially comes in the mind of the consumer when he or she is willing to buy a product in market. These are the brands that are of high significance to the customer and that individual customer completely trust such brand.
Every producer in the market wants to be in the evoked set of the consumer as there is a high probability that customer will choose to buy their willing commodity form such a set. However, positioning in evoked set cannot be marked quickly as it depends on various factors such as duration, quality and price etc.
Answer:
B. Portfolio B with E(R)=13% and STD=18%
Explanation:
The computation is shown below;
Reward to risk ratio = (15% - 5%) ÷ 20% = 0.5
The porfolio should be in line i.e.
= 0.05 + 0.5 × standard deviation
For portfolio A
= 0.05 + 0.5 × 25
= 17.5%
For portfolio C
= 0.05 + 0.5 × 1
= 5.5%
Portfolio B, the std is 18%
So,
= 0.05 + 0.5 × 18%
= 14%
Answer:
Explanation:
B or C are the benefits of sole proprietorship,
D can be used by any organization,
so only A, raise capital by selling stock in company.
Based on the given sample above, I can say that it would be an example of a descriptive statistics. When we say descriptive statistics, this is the kind of statistics that uses numerical data based from the given sample in order to describe the population. This is different from inferential because inferential statistics creates inferences based on the given data. Hope this helps.
