Question

# 1. Suppose a large shipment of telephones contained 7% defectives. If a sample of size 247...

1. Suppose a large shipment of telephones contained 7% defectives. If a sample of size 247 is selected, what is the probability that the sample proportion will be greater than 9%? Round your answer to four decimal places

2. Suppose 48% of the population has myopia. If a random sample of size 484 is selected, what is the probability that the proportion of persons with myopia will differ from the population proportion by less than 3%? Round your answer to four decimal places

3. A film distribution manager calculates that 9% of the films released are flops. If the manager is correct, what is the probability that the proportion of flops in a sample of 835 released films would be greater than 7%? Round your answer to four decimal places

1)

 for normal distribution z score =(p̂-p)/σp here population proportion=     p= 0.0700 sample size       =n= 247 std error of proportion=σp=√(p*(1-p)/n)= 0.0162
 probability =P(X>0.09)=P(Z>(0.09-0.07)/0.016)=P(Z>1.23)=1-P(Z<1.23)=1-0.8907=0.1093

2)

 std error of proportion=σp=√(p*(1-p)/n)= 0.0227
 probability =P(0.45

3)

 std error of proportion=σp=√(p*(1-p)/n)= 0.0099
 probability =P(X>0.07)=P(Z>(0.07-0.09)/0.01)=P(Z>-2.02)=1-P(Z<-2.02)=1-0.0217=0.9783

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