In: Statistics and Probability
The average student loan debt for college graduates is $25,300.
Suppose that that distribution is normal and that the standard
deviation is $11,250. Let X = the student loan debt of a randomly
selected college graduate. Round all probabilities to 4 decimal
places and all dollar answers to the nearest dollar.
a. What is the distribution of X? X ~ N(,)
b Find the probability that the college graduate has between $7,500
and $18,100 in student loan debt.
c. The middle 30% of college graduates' loan debt lies between what
two numbers?
Low: $
High: $
Solution :
Given that ,
mean = = $25300
standard deviation = = $11250
a.
X N (25300 , 11250)
b.
P($7500 < x < $18100) = P[(7500 - 25300)/ 11250) < (x - ) / < (18100 - 25300) / 11250) ]
= P(-1.58 < z < -0.64)
= P(z < -0.64) - P(z < -1.58)
= 0.2611 - 0.0571
= 0.2040
Probability = 0.2040
c.
Middle 30%
Middle 30% thr z value are
= 1 - 30% = 1 - 0.3 = 0.7
/ 2 = 0.7 / 2 = 0.35
1 - / 2 = 1 - 0.35 = 0.65
z 0.35 = -0.3853
z 0.65 = 0.3853
Using z-score formula,
x = z * +
x = -0.3853 * 11250 + 25300 = 20965
and
x = 0.3853 * 11250 + 25300 = 29635
Two numbers are Low: $20965 High: $29635