This utility computes the confidence intervals for a population proportion in one population using normal approximation. The confidnece intervals are calculated using the following formula:
where 
= sample proportion
= inverse cumulative
probability of the z distribution at
1 - α/2.
,
) are not met, a warning
will be shown along with the results of the computation.
The number of trials, number of events, and proportion in the sample
are displayed,
along with the resulting the margin of error and the confidence interval
for the population proportion.
Here is an example:
Confidence Interval - One population proportion: confidence level = 0.95
Input: Summary data
Number of trials
Number of Events
Sample proportion
Margin of Error
95.00%CI 100
10
0.100
0.059
(0.0412, 0.1588)