A sociologist finds that for a certain segment of the population, the numbers of years of formal education are normally distributed with a mean of 13.20 years and a standard deviation of 2.95 years. (Remember to draw the distribution)
a) For a person randomly selected from this group, find the probability that he or she has between 13.20 and 13.50 years of education.
b) For a person randomly selected from this group, find the probability that he or she has at least 12.00 years of education.
c) Find the first quartile, Q1. That is, find the value separating the lowest 25% from the highest. 75%.
d) If an employer wants to establish a minimum education requirement, how many years of education would be required if only the top 5% of this group would qualify?
Given,
= 13.20 , = 2.95
We convert this to standard normal as
P( X < x) = P( Z < x - / )
a)
P( 13.20 < X < 13.50) = P( X < 1350) - P( X < 13.20)
= P( Z < 13.50 - 13.20 / 2.95) - P( Z < 13.20 - 13.20 / 2.95)
= P( Z < 0.1017) - P( Z < 0)
= 0.5405 - 0.5
= 0.0405
b)
P( X >= 12) = P( Z >= 12 - 13.20 / 2.95)
= P( Z >= -0.4068)
= P( Z < 0.4068)
= 0.6579
c)
First quartile Q1 = 25th perecntile
Q1 = + Z * , Where Z is critical value at 0.25 level,
Q1 = 13.20 + (-0.6745) * 2.95
= 11.2102
d)
We have to calculate x such that P( X > x) = 0.05
That is P( X < x) = 0.95
P( Z < x - / ) = 0.95
From the Z table, z-score for the probability of 0.95 is 1.645
x - / = 1.645
Put the values of and in above equation and solve for x
x - 13.20 / 2.95 = 1.645
x = 18.053
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