In: Finance
Myers Business Systems is evaluating the introduction of a new
product. The possible levels of unit sales and the probabilities of
their occurrence are given next:
Possible Market Reaction |
Sales in Units |
Probabilities | ||||
Low response | 10 | .20 | ||||
Moderate response | 50 | .30 | ||||
High response | 70 | .40 | ||||
Very high response | 90 | .10 | ||||
a. What is the expected value of unit sales for
the new product? (Do not round intermediate calculations
and round your answer to the nearest whole unit.)
|
b. What is the standard deviation of unit sales? (Do not round intermediate calculations. Round your answer to 2 decimal places.)
|
(a) Expected value = sales in units * probabilities
Expected value = (10 * 0.20) + (50 * 0.30) + (70 * 0.40) + (90 * 0.1)
Expected value = 2 + 15 + 28 + 9 = 54
(b) Standard deviation:
For calculating standard deviation, first we will calculate (X - EX)2, where, X is the sales in units and EX is the expected value as calculated in point (a)
Low response: (10 - 54)2 = (-44)2 = 1936
Moderate response: (50 - 54)2 = (-4)2 = 16
High response: (70 - 54)2 = (16)2 = 256
Very high response: (90 - 54)2 = (36)2 = 1296
In the next step, we will multiply the respective probabilities to the solution above, as per below,
Low response: 1936 * 0.2 = 387.2
Moderate response: 16 * 0.3 = 4.8
High response: 256 * 0.4 = 102.4
Very high response: 1296 * 0.1 = 129.6
In the next step, we will add up the above numbers computed as below:
387.2 + 4.8 + 102.4 + 129.6 = 624
Now, standard deviation is the square root of the above number computed:
Standard deviation = (624)1/2 = 24.98