Answer)
Normal models are defined by N(mean, s.d)
Therefore, mean = 0.063
S.d= 0.022
A)
Over 6.8% that is over 0.068
P(x>0.068)
First we need to estimate the standard z score
Z = (x-mean)/s.d
Z = (0.068-0.063)/0.022
Z = 0.23
From z table, p(z>0.23) = 0.4090
Or 40.9%
B)
P(0<x<0.076) = p(x<0.076)-p(x<0)
P(x<0.076) => z = (0.076-0.063)/0.022 = 0.59
From z table, p(z<0.59) = 0.7224
P(x<0) => z = (0-0.063)/0.022 = -2.86
From z table, P(z<-2.86) = 0.0021
Required probability = 0.7224-0.0021
= 0.7203
= 72.03%
= 72.0%
C)
P(x>0.01)
Z = (0.01-0.063)/0.022
= -2.41
From z table, p(z>-2.41) = 0.992
= 99.2%
D)
P(x<0)
Z = (0-0.063)/0.022
Z = -2.86
From z table, p(z<-2.86)
= 0.0021
= 0.2%
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