In: Statistics and Probability
2. The following probability distribution of the monthly incomes
(X in $1000) of
account executives has been estimated for a big accounting
firm.
a. Find the expected value and the standard deviation of the
monthly
incomes.
b. A random sample of 64 executives is taken. What is the
probability
that the sample mean value exceeds $20,500?
X 12 14 20 22 30
P(X) 0.15 0.15 0.4 0.2 0.1
Given Probability Distribution of the monthly incomes (X) is as follows,
x | f(x) |
12 | 0.15 |
14 | 0.15 |
20 | 0.4 |
22 | 0.2 |
30 | 0.1 |
Part a
Expected value of X is obtained as,
To calculate the variance, we need,
Answer : E(X)=19.3 ; V(X)=25.31
Part (b)
Given,
a random sample of size n = 64 is taken.
i.e. are identically and independently distributed with the above probability distribution function.
By the central limit theorem,
To Calculate,
, where is the CDF of a
standard normal distribution.
,
(Obtained from standard normal tables)
Required probability is 0.0282