BinomialConfidenceInterval (Apache Commons Math 4.0-beta1)

All Known Implementing Classes:

AgrestiCoullInterval, ClopperPearsonInterval, NormalApproximationInterval, WilsonScoreInterval
```
public interface BinomialConfidenceInterval
```
Interface to generate confidence intervals for a binomial proportion.

Since:

3.3

See Also:

Binomial proportion confidence interval (Wikipedia)

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`ConfidenceInterval`	`createInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)`	Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

- Method Detail
  - createInterval
```
ConfidenceInterval createInterval(int numberOfTrials,
                                  int numberOfSuccesses,
                                  double confidenceLevel)
                           throws NotStrictlyPositiveException,
                                  NotPositiveException,
                                  NumberIsTooLargeException,
                                  OutOfRangeException
```
    Create a confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    Preconditions:
    
    numberOfTrials must be positive
    
    numberOfSuccesses may not exceed numberOfTrials
    
    confidenceLevel must be strictly between 0 and 1 (exclusive)
    Parameters:
    
    numberOfTrials - number of trials
    
    numberOfSuccesses - number of successes
    
    confidenceLevel - desired probability that the true probability of success falls within the returned interval
    
    Returns:
    
    Confidence interval containing the probability of success with probability confidenceLevel
    
    Throws:
    
    NotStrictlyPositiveException - if numberOfTrials <= 0.
    
    NotPositiveException - if numberOfSuccesses < 0.
    
    NumberIsTooLargeException - if numberOfSuccesses > numberOfTrials.
    
    OutOfRangeException - if confidenceLevel is not in the interval (0, 1).