Given a normal distribution with mu 50 and sigma 8, and given you select a sampl
ID: 3063047 • Letter: G
Question
Given a normal distribution with mu 50 and sigma 8, and given you select a sample of n equals 100, complete parts (a) through (d).
a. What is the probability that Upper X overbar is less than 49? P(Upper X overbarless than49)equals 0.1056 (Type an integer or decimal rounded to four decimal places as needed.)
b. What is the probability that Upper X overbar is between 49 and 49.5? P(49less thanUpper X overbarless than49.5)equals 0.1603 (Type an integer or decimal rounded to four decimal places as needed.)
c. What is the probability that Upper X overbar is above 50.3?
Explanation / Answer
Here mean = 50
standard deviation = 8
standard error of sample mean se0 = /sqrt(n) = 8/sqrt(100) = 8/10 = 0.8
Here
Here n = 100
(a) Pr(x < 49) = NORMAL (x < 49 ; 50 ; 0.8)
Z = (49 - 50)/ 0.8 = -1.25
Pr(x < 49) = NORMAL (x < 49 ; 50 ; 0.8) = Pr(Z < -1.25) = 0.10565
(b)Pr(49 < X < 49.5) = Pr(x < 49.5 ; 50 ; 0.8)- (Pr(x < 49 ; 50 ; 0.8) = (Z2) - (Z1)
where is the standard normal cumulative distribution
Z2 = (49.5 - 50)/0.8 = - 0.625
Z1 = (49 -50)/ 0.8 = -1.25
Pr(49 < X < 49.5) = Pr(x < 49.5 ; 50 ; 0.8)- (Pr(x < 49 ; 50 ; 0.8) = (Z2) - (Z1) = (-1.25) - (-0.625) = 0.2660 -0.10565 = 0.1603
(c) Pr(x > 50.3) = 1 - Pr(x < 50.3 ; 50 ; 0.8)
Z = (50.3 - 50)/ 0.8 = 0.375
Pr(x > 50.3) = 1 - Pr(x < 50.3 ; 50 ; 0.8) = 1 - Pr(Z < <0.375) = 1- 0.6462 = 0.3538
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