In: Statistics and Probability
1.The manufacturer of cans of salmon that are supposed to have a net weight of 6 ounces tells you that the net weight is actually a normal random variable with a mean of 5.98 ounces and a standard deviation of 0.12 ounce. Suppose that you draw a random sample of 44 cans. Find the probability that the mean weight of the sample is less than 5.94 ounces.
Probability =
2.Scores for men on the verbal portion of the SAT-I test are
normally distributed with a mean of 509and a standard deviation of
112.
(a) If 1 man is randomly selected, find the probability
that his score is at least 588.
(b) If 18 men are randomly selected, find the
probability that their mean score is at least 588.
Question 1
Given
µ = 5.98
σ = 0.12
n = 44
We have to find P(Xbar<5.94)
Z = (Xbar - µ)/[σ/sqrt(n)]
Z = (5.94 – 5.98)/[0.12/sqrt(44)]
Z = -0.04/ 0.018091
Z = -2.21104
P(Z<-2.21104) = P(Xbar<5.94) = 0.013516
(by using z-table)
Required probability = 0.013516
Question 2
Part a
We are given
µ = 509
σ = 112
We have to find P(X≥588) = 1 – P(X<588)
Z = (X - µ)/σ
Z = (588 – 509)/112
Z = 0.705357
P(Z< 0.705357) = P(X<588) = 0.759706
(by using z-table)
P(X≥588) = 1 – P(X<588)
P(X≥588) = 1 – 0.759706
P(X≥588) = 0.240294
Required probability = 0.240294
Part b
We are given
µ = 509
σ = 112
n = 18
We have to find P(Xbar≥588) = 1 – P(Xbar<588)
Z = (Xbar - µ)/[σ/sqrt(n)]
Z = (588 – 509)/[112/sqrt(18)]
Z = 2.992577
P(Z< 2.992577) = P(Xbar<588) = 0.998617
(by using z-table)
P(Xbar≥588) = 1 – P(Xbar<588)
P(Xbar≥588) = 1 – 0.998617
P(Xbar≥588) = 0.001383
Required probability = 0.001383