2. The average starting salary for this year's graduates at a large university (LU) is $50,000 with a standard deviation of $10,000. Furthermore, it is known that the starting salaries are normally distributed.
a. What is the probability that a randomly selected LU graduate will have a starting salary of at least $45,000?
b. Individuals with starting salaries of less than $36,900 receive a low income tax break. What percentage of the graduates will receive the tax break? c. What are the minimum and the maximum starting salaries of the middle 95% of the LU graduates?
d. If 300 of the recent graduates have salaries of at least $65,000, how many students graduated this year from this university?
a)
for normal distribution z score =(X-μ)/σx | |
here mean= μ= | 50000 |
std deviation =σ= | 10000.0000 |
probability that a randomly selected LU graduate will have a starting salary of at least $45,000:
probability = | P(X>45000) | = | P(Z>-0.5)= | 1-P(Z<-0.5)= | 1-0.3085= | 0.6915 |
b)
percentage of the graduates will receive the tax break:
probability = | P(X<36900) | = | P(Z<-1.31)= | 0.0951~9.51% |
c)
for middle 95% values critical z=1.96
hence minimum starting salaries =mean-z*std deviaiton =30400
and maximum starting salaries =mean+z*std deviaiton =69600
d)
probability of having salary at least 65000:
probability = | P(X>65000) | = | P(Z>1.5)= | 1-P(Z<1.5)= | 1-0.9332= | 0.0668 |
as 0.0668 proportion corresponds to 300 graduates
therefore number of students graduated=300/0.0668 =4491
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