In: Statistics and Probability
Business Weekly conducted a survey of graduates from 30 top MBA programs. On the basis of the survey, assume the mean annual salary for graduates 10 years after graduation is $156,000. Assume the standard deviation is $42,000. Suppose you take a simple random sample of 49 graduates. Round all answers to four decimal places if necessary.
Solutiona)
Given:
µ = 156,000.
σ = 42000
X ~ N ( µ = 156,000. , σ = 42000 )
Solution b)
µX̅ = µ = 156,000.
σX̅ = σ / √ (n) =42000/√49 =6000
~ N ( µ = 156,000. , σ/ √n =6000 )
Solution c)
X ~ N ( µ = 156,000. , σ = 4200 )
the probability that her salary is between $150,400 and
$159,100.
P ( 150400<X < 159100)
P ( (150400-156,000 ) / 42000 )< ( X - µ ) / σ ) < (
159100-156,000 ) / 42000 ))
P ( -0.13<Z < 0.07 )
=P(z<0.07)-P(z<-0.13)
=0.08245
#P ( 150400<X < 159100)=0.08245
Part d)
P ( 150400<< 159100)
P ( (150400-156,000 ) / (42000/√(49) )< (
- µ ) / ( σ / √ (n)) < ( 159100-156,000 ) /
(42000/√(49)))
=P(-0.93<z<0.52)
=P(z<0.52)-P(z<-0.93)
=0.6973-0.1753
=0.52198
P ( 150400<< 159100)=0.52
Part e)
NO, For part d) assumptions of normality is not necessary because, sampling distribution of sample mean is normal, hence not need to specify the normality of X̅.