Answer: Alternation Ranking
Explanation: In Alternation Ranking employees are rated by choosing the best and then the worst employee, and then repeating the process until all employees have been rated. This method is effective in determining worker's performance using comparison with other workers in the company.
Because the internet make it so much easier for consumers to do research before making decision.
Through the internet, the consumers could know the credibility of a certain product by reading past experiences of other consumers that have used it before. Not only that, the consumers might know the side effects of the product which might be intentionally hidden by the producer.
Answer:
the firm should have sold less output in the local market, and more output on the internet auction site.
Explanation:
Based on the scenario being described within the question it can be said that in order to maximize profits the firm should have sold less output in the local market, and more output on the internet auction site. This is because marginal revenue indicates the additional revenue that will be generated by increasing product sales by one unit. Therefore since the internet auction site's marginal revenue is higher than the local store, it means that selling more units in the internet site will lead to more profit than the local market.
Answer: (4) Requirement analysis
Explanation:
The requirement analysis is one of the process of determine the actual user expectation for building the new product with the help of new modifications.
The requirement analysis is one of the phrases of SDLC (Software development life cycle). The requirement analysis is also known as requirement engineering.
According to the question, the requirement analysis is one of the software development life cycle phase in which the information system are produced by using the report according to the organization quality.
Therefore, Option (4) is correct.
Answer:
Expected value of X = -11.09
Explanation:
Expected profit:
= Probability of winning × Amount she wins
= 0.03 × $180
= 5.4
Expected loss:
= Probability of loosing × Amount she paid
= 0.97 × $17
= 16.49
Let X be amount of money Mary wins or loses.
E(X) = Expected profit - Expected loss
= 5.4 - 16.49
= -11.09
Expected value of X = -11.09
That is expected value of loss of $11.09
