Two surgical procedures are widely used to treat a certain type of cancer. To compare the success rates of the two procedures, random samples of the two types of surgical patients were obtained and the numbers of patients who showed no recurrence of the disease after a 1-year period were recorded. The data are shown in the table. How large a sample would be necessary in order to estimate the difference in the true success rates to within 0.10 with 95% confidence interval for population proportion? n number of successes Procedure A 100 95 Procedure B 100 97 Group of answer choices n1=n2=21 n1=n2=192 n1=n2=30 n1=n2=29
Two surgical procedures are widely used to treat a certain type of cancer. To compare the success rates of the two procedures, random samples of the two types of surgical patients were obtained and the numbers of patients who showed no recurrence of the disease after a 1-year period were recorded. The data are shown in the table. How large a sample would be necessary in order to estimate the difference in the true success rates to within 0.10 with 95% confidence interval for population proportion?
n | number of successes | |
Procedure A |
100 | 95 |
Procedure B | 100 | 97 |
Given:
From the standard normal table, the value of z at 95% confidence level is 1.96.
The sample size for the difference in the true success rates is obtained as below:
Thus, the sample size required to estimate the difference in the true success rates is 29.
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