Answer:
the marginal revenue product of baseball players is greater than the marginal revenue product of college professors.
Explanation:
Baseball players are responsible for a baseball teams' revenues, and they add up billions of dollars per year. For example, Max Scherzer sells jerseys, caps and other merchandise for millions of dollars, and his team winning the World Series this year increases the team's revenue greatly. Sometimes even without winning a championship some players still generate lots of revenue.
An individual's salary should be proportional to the revenue that they generate. Colleges have huge amounts of revenue, and college professors are responsible for a large portion of it.
The problem hear is that there are a lot of college professors and assistants, and the revenue must be split between many people. For example, Harvard University's revenue is about $5.5 billion per year, but it has over 16,000 employees (including about 2,400 professors).
Answer: The correct answer is "Material losses resulting from correction of errors related to prior periods.".
Explanation: It is generally established that the type of loss that is excluded from the determination of net income in the income statement are the material losses resulting from transactions in the company's investments account.
Answer:The analysis must be incorrect because the total score should sum up to 1
Explanation: Analytical Hierarchy process is a mathematical model used in determining the viability of a process from sets of process using set criterion ,these criteria are selected such that it determine the like hood of success of the project,the number written above represent the weight of each of the process ,the overall weight of the criterion is always when summed up.
The weight represents the likelihood of the events happening or being successful.
The probability of event B given that event A has already occurred is known as a CONDITIONAL PROBABILITY.
Conditional probability is written mathematically as: P[B/A], where P stands for probability.
Event A and B can be dependent or independent and this will have effect on the general formula of conditional probability, that is, the formula will change in form depending on the relationship between the two events.
