In: Statistics and Probability
The U.S. Census Bureau announced that the mean sale price of new houses sold in 2011 was $267,900. Assume that the standard deviation of the prices is $90,000.
(a) If you select a random sample of n = 100, what is the probability that the sample mean will be less than $300,000?
(b) If you select a random sample of n = 100, what is the
probability that the sample mean will be between $275,000 and
$290,000?
(c) Between what two values symmetrically distributed around the
mean are 80% of the sample mean home prices, when n = 100?
Solution :
Given that ,
mean = = 267900
standard deviation = = 90000
n = 100
= = 267900
= / n = 90000/ 100 = 9000
a) P( <300000 ) = P(( - ) / < (300000 - 267900) /9000 )
= P(z < 3.57)
= 0.9998
probability = 0.9998
b)
P(275000< < 290000 )
= P[(275000 - 267900) /9000 < ( - ) / < ( 290000 - 267900) /9000 )]
= P( 0.79< Z < 2.46 )
= P(Z < 2.46 ) - P(Z < 0.79 )
= 0.9931 - 0.7852 = 0.2078
probability = 0.2078
c) 80%
P(-z Z z) = 0.80
P(Z z) - P(Z -z) = 0.80
2P(Z z) - 1 = 0.80
2P(Z z) = 1 + 0.80 = 1.80
P(Z z) = 1.80 / 2 = 0.90
P(Z 1.28) = 0.90
z = -1.28 , +1.28
z = -1.28
= z * + = -1.28 * 9000+267900 = 256380
z = 1.28
= z * + = 1.28 * 9000+267900 = 279420
Answer = Between two values is 256380 and 279420.