According to the Rule of Three, when we have a sample size n with x= 0 successes, we have 95% confidence that 3 the true population proportion has an upper bound of - a. If n independent trials result in no successes, why can't we find confidence interval limits by using the methods described in this section? b. If 40 couples use a method of gender selection and each couple has a baby girl, what is the 95% upper bound for p, the proportion of all babies who are boys?

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According to the Rule of Three, when we have a sample size n with x = 0 successes, we have 95% confidence that
3
the true population proportion has an upper bound of
n'
a. If n independent trials result in no successes, why can't we find confidence interval limits by using the methods
described in this section?
b. If 40 couples use a method of gender selection and each couple has a baby girl, what is the 95% upper bound for
p, the proportion of all babies who are boys?
a. Choose the correct answer below.
A. The requirement of dependent trials is not satisfied, so the normal distribution cannot be used.
B. The requirement of at least 5 successes and at least 5 failures is not satisfied, so the normal distribution
cannot be used.
C. The requirement of at least 5 successes and at least 5 failures is not satisfied, so the binomial distribution
cannot be used.
D. The requirement of dependent trials is not satisfied, so the binomial distribution cannot be used.
Transcribed Image Text:According to the Rule of Three, when we have a sample size n with x = 0 successes, we have 95% confidence that 3 the true population proportion has an upper bound of n' a. If n independent trials result in no successes, why can't we find confidence interval limits by using the methods described in this section? b. If 40 couples use a method of gender selection and each couple has a baby girl, what is the 95% upper bound for p, the proportion of all babies who are boys? a. Choose the correct answer below. A. The requirement of dependent trials is not satisfied, so the normal distribution cannot be used. B. The requirement of at least 5 successes and at least 5 failures is not satisfied, so the normal distribution cannot be used. C. The requirement of at least 5 successes and at least 5 failures is not satisfied, so the binomial distribution cannot be used. D. The requirement of dependent trials is not satisfied, so the binomial distribution cannot be used.
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