A subset of 18- to 25- year old workers have some extra money to burn and are called "gold-collar" workers. These workers are spending an average of $729 per month on themselves (versus $267 for college students and $609 for "blue collar" workers). Assuming this spending is normally distributed with a standard deviation of $92.00, what percentage of gold-collar workers spend:
a.) Between $400 and $1000 a month on themselves
b.) Less than $500 a month on themselves
(a)
= 729
= 92
To find P(400 < X < 1000):
Case 1 : For X from 400 to mid value:
Z = (400 - 729)/92 = - 3.5761
Table of Area Under Standard Normal Curve gives area = 0.4998
Case 2: For X from mid vale to 1000:
Z = (1000 - 729)/92 = 2.9457
Table gives area = 0.4984
So,
P(400 < X < 1000) = 0.4999 + 0.4984 = 0.9983 = 99.83 %
(b)
To find P(X<500):
Z = (500 - 729)/92 = - 2.4891
Table gives area = 0.4936
So,
P(X<500) = 0.5 - 0.4936 = 0.0064 = 0.64 %
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