Answer)
P = 0.3
N = 100.
First we need to check the conditions of normality that is if n*p and n*(1-p) both are greater than 5 or not
N*p = 30
N*(1-p) = 70
Both the conditions are met so we can use standard normal z table to estimate the probability.
So, the sampling distribution of p is normally distributed with mean = 0.3
And s.d = √{p*(1-p)}/√n = 0.14491376746
B)
z = (oberved p - claimed p)/standard error
Standard error = √{claimed p*(1-claimed p)/√n
P(0.2<x<0.4) = P(x<0.4) - P(x<0.2).
P(x<0.4) = P(z<0.69) = 0.7549
P(x<0.2) = P(z<-0.69) = 0.2451
Required probability is 0.7549 - 0.2451 = 0.5098
C)
P(0.25<x<0.35) = P(x<0.35) - P(x<0.25) = P(z<0.35) - P(z<-0.35) = 0.6368 - 0.3632 = 0.2736
The president of Doerman Distributors, Inc., believes that 30% of the firm's orders come from first-time...
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