A: Let z be a random variable with a standard normal
distribution. Find the indicated probability. (Round your answer to
four decimal places.)
P(z ≤ 1.11) =
B: Let z be a random variable with a standard normal distribution. Find the indicated probability. (Round your answer to four decimal places.)
P(z ≥ −1.24) =
C: Let z be a random variable with a standard normal distribution. Find the indicated probability. (Round your answer to four decimal places.)
P(−1.78 ≤ z ≤ −1.14) =
D: Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.)
μ = 40; σ = 16
P(50 ≤ x ≤ 70) =
E: Assume that x has a normal distribution with the specified mean and standard deviation. Find the indicated probability. (Round your answer to four decimal places.)
μ = 97; σ = 12
P(x ≥ 90) =
Answer)
We need to use standard normal z table to solve this problem
A)
From z table, P(z<1.11) = 0.8665
B)
From z table, P(z>-1.24) = 0.8925
C)
P(-1.78<z<-1.14) = p(z<-1.14) - p(z<-1.78)
P(z<-1.14) = 0.1271
P(z<-1.78) = 0.0375
So answer is 0.1271 - 0.0375 = 0.0896
D)
Answer)
As the data is normally distributed we can use standard normal z table to estimate the answers
Z = (x-mean)/s.d
Given mean = 40
S.d = 16
P(50 < x< 70)
P(x<70)
Z = (70-40)/16 = 1.88
From z table, P(z<1.88) = 0.9699
P(x<50)
Z = (50 - 40)/16 = 0.63
From z table, P(z<0.63) = 0.7357
Required probability is 0.9699 - 0.7357 = 0.2342
E)
P(x>90)
Z = (90 - 97)/12 = -0.58
From.z.table, P(z>-0.58) = 0.7190
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