This statlet determines the required sample size for estimating and testing hypotheses about the parameter of a binomial distribution. The tabs are:
The input tab permits you to specify information about the estimation or test you wish to perform:
Enter:
Hypothesized proportion - the hypothesized value of the population proportion specified by the null hypothesis.
Tolerance - if selected, the sample size necessary to achieve a confidence interval of the specified width will be determined.
Power - if selected, the sample size necessary to achieve a test with the indicated power will be determined. Specify the probability of a Type I error (alpha), the probability of a Type II error (beta), and the alternative at which the power will be controlled. If the desired test is two-sided, be sure the checkbox labeled "Two-sided" is checked.
For more details on hypothesis tests, see the Glossary.
This tab shows the sample size needed to meet the requirements entered on the input panel:
This tab shows the power curve for the determined sample size:
The power curve shows the probability of rejecting the null hypothesis as a function of the true population proportion.