Question #123145
A supervisor has determined that the average salary of the employees in his department $40,000 with a standard deviation of $15,000. Assume that the distribution of the salaries is normally distributed. An employee is selected at random, find the probability that the employee’s salary is:

(i) More than $35,000.
(ii) Between $36,000 to $42,000.
1
Expert's answer
2020-06-23T15:10:37-0400

Let X = the random variable denoting the salary of the selected employee


We have,

X ~ N(μ\mu = 40000, σ2\sigma^2 = 15000)


Then,


Z = Xμσ\frac{X-\mu}{\sigma} ~ N(0, 1), Z is the standard normal variate


(i) The probability that the employee’s salary is more than $35,000


= P(X > 35000)


= P(X4000015000>350004000015000\frac{X-40000}{15000}>\frac{35000-40000}{15000})


= P(Z > - 0.33)


= 1 - P(Z \leq - 0.33)


= 1 - Φ\Phi(- 0.33)


= 1 - 0.3707 [from standard normal table]


= 0.6293


Answer: The probability that the employee’s salary is more than $35,000 is 0.6293.


(ii) The probability that the employee’s salary is between $36,000 to $42,000


P(36000 \leq X \leq 42000)


= P(360004000015000X4000015000420004000015000\frac{36000-40000}{15000}\leq\frac{X-40000}{15000}\leq\frac{42000-40000}{15000})


= P(-0.27 \leq Z \leq 0.13)


= P(Z \leq 0.13) - P(Z < -0.27)


= Φ\Phi(0.13) - Φ\Phi(-0.27)


= 0.5517 - 0.3936 [from standard normal table]


= 0.1581


Answer: The probability that the employee’s salary is between $36,000 to $42,000 is 0.1581.

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