Somebody whose job is to provide analytics or research should always be someone who is very good at quantitative analysis. They should be good with math and numbers, because their job is to analyze a business. The same goes for research. A good researcher is good at math because they have to analyze large datasets. This person would also be pretty detail-oriented because they need to make sure that they are not making small mistakes, as small mistakes could result in poor decisions that come out of their analysis.
Does that make sense?
When the stock market crashed people panicked
Answer:
a natural monopoly
Explanation:
A monopoly is a market structure which is typically characterized by a single-seller (one seller) who sells a unique product in the market by dominance. This ultimately implies that, it is a market structure wherein the seller has no competitor because he is solely responsible for the sale of unique products without close substitutes.
A monopolist refers to any individual that deals with the sales of unique products in a monopolistic market.
On a related note, a natural monopoly is a market that runs most efficiently when all of the output is supplied by one large business firm. Thus, a business firm is considered to be a natural monopoly if it's capable of producing the total output of the market at a lower cost than two or more business firms could.
Some examples of natural monopoly are the United States Postal Service, electricity grid, water supply, gas network, sewer services, energy distributors, railway service, etc.
Answer:
D) 75
Explanation:
Our initial production function is:
q = 305X - 2X²
we calculate the derivative of q:
(q') = 305 - 4X
MP = 305 - 4X
$10 / $2 = 305 - 4X
5 = 305 - 4X
4X = 305 - 5 = 300
x = 300 / 4
x = 75