Exact confidence intervals

If X is the number of individuals that have the studied property (e.g. positive events) in a n size sample, then X follows a binomial law, B(n,p_i).
There are several confidence intervals for p_i. The approximation of the binomial law by the normal law can be used to determine one confidence interval. This is all the more valid since n*p_i and n(1-pi) are big.
The exact confidence interval with coverage probability 1-alpha, can be determined using the repartition function of the binomial law.
Here, alpha is set to 0.05.

Daudin J-J., Robin S. and Vuillet C., 2001. Statistique inférentielle, idées, démarches, exemples.Société Française de Statistique et Presses Universitaires Rennes. 185p.

Number of samples :		Number of samples must be > 0 and <= 100
Number of positive events :		Number of positive events must be < to number of samples

Exact confidence intervals

Fill in the above form with "Number of samples" and "Number of positive events" !

OR

indicate an input file !

Path and name of input file : (e.g. C:\directory\...\filename.ext)		Input file need to be a "text" file with the number of samples in first position, ";" or "tab" as separator and the number of positive events in second position (without header).	50 ";" or "tab" 20¶ 55 ";" or "tab" 20¶ ...