Answer:
MR = 10 – 1q1.
Explanation:
Demand function, P = 20 – 0.5Q
Q = q1 + q2
Now insert Q in the P = 20 – 0.5Q.
P = 20 – 0.5 (q1 + q2)
We have the value of q2 = 20.
P = 20 – 0.5 (q1 + q2)
P = 20 – 0.5 (q1 + 20)
P = 20 – 0.5q1 – 10
P = 10 – 0.5q1
Total revenue of firm 1, TR = Pq1
TR = 10q1 – (0.5q1)^2
Now MR is the differentiation of TR. So the MR after differentiation if TR of firm 1 is:
MR = 10 – 1q1
Answer:
b. False
Explanation:
The above is false because sales people are supposed to build and maintain long term relationships with their customers by listening to and assessing their needs and not teaching their customers. Sales people create a concerted effort towards solving those needs experienced by their customers.
A salesperson represent the image of the company he or she is selling for, hence must be professional and well trained because the company gets profit through his interactions with the customers. This means that before the company gets profit, customers must be satisfied because these salespeople act as critical link between the company and its customers.
Answer:
The correct answer is letter "A": number of firms in an industry.
Explanation:
A concentration ratio measures the number of competitors within the same industry. The lowest concentration ratio of a firm, it represents there are more market rivals. The highest the concentration ratio, the lower the number of competitors of the firm. The ratio is expressed in percentage terms. A firm having a 100% concentration ratio is a monopoly.
To… help protect investors from fraudulent financial reporting by corporations
Answer:
B. they involve the use of expert judgement do develop forecasts
Explanation:
A time series is a series of events that is spaced equally in time. It is a statistical technique used to identify a time based trend of events and them make forecast using data from the trend/time series.
Time series requires certain processes which include discovering of a pattern in the historical data, projection of the historical data into the future, assumption that the pattern will remain the same(constant) as the time goes by, etc.
In time series method, since historical data is the point of reference for making a forecast, no expert judgements is required to develop forecasts. This is because once the data of the series from the past has been taken and a trend/pattern has been identified, that becomes the basis for future forecasts.
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