Suppose the rbinom() function is used to generate 20 sets of data (each with sample size of n=10 from the distribution Bin(1, 0.8). For each of the 20 datasets, I conduct a sign test. The null hypothesis for the sign test is that the population probability of getting 1 is 0.5; the alternative hypothesis is that the population probability is not 0.5. Then I calculate the proportion of rejection across the 20 datasets and found out that 6 of the 20 datasets had a significant result at α=0.5; in other words, t

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Suppose the rbinom() function is used to generate 20 sets of data (each with sample size of n=10 from the distribution Bin(1, 0.8). For each of the 20 datasets, I conduct a sign test. The null hypothesis for the sign test is that the population probability of getting 1 is 0.5; the alternative hypothesis is that the population probability is not 0.5. Then I calculate the proportion of rejection across the 20 datasets and found out that 6 of the 20 datasets had a significant result at α=0.5; in other words, the rejection rate is  6/20 =0.3. In addition, I also recorded the confidence intervals for estimating the population proportion for the 20 datasets.  Given the rejection rate, what is the proportion of the CI that contains 0.5? 

A.

0.05

B.

0.3

C.

0.5

D.

0.7

E.

1

F.

not enough information

 
 
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