The amounts of electricity bills for all households in a city have a normal probability distribution with a mean of $140 and a standard deviation of $30. Find the probability that the mean amount of electric bills for a random sample of 75 households selected from this city will be:
a. between $132 and $136
b. within $6 of the population mean
c. more than the population mean by at least $4
Answer)
As the population is normally distributed, we can use standard normal z table to estimate the probability here.
Given mean = 140
S.d = 30
N = sample size = 75
A)
P(132<x<136) = p(x<136) - p(x<132)
Z = (x-mean)/(s.d/√n)
P(x<136)
Z = (136-140)/(30/√75)
Z = -1.15
From z table, p(z<-1.15) = 0.1251
P(x<132)
Z = (132-140)/(30/√75)
Z = -2.31
From z table, p(z<-2.31) = 0.0104
Required probability is 0.1251 - 0.0104
= 0.1147
B)
Within $6 means
P(134<x<146)
P(x<146)
Z = (146-140)/(30/√75)
Z = 1.73
From z table, p(z<1.73) = 0.9582
P(x<134)
Z = -1.73
P(z<-1.73) = 0.0418
Required probability is 0.9582 - 0.0418
= 0.9164
C)
P(x>144)
Z = (144-140)/(30/√75)
Z = 1.15
P(z>1.15)
= 0.1251
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