org.apache.commons.math3.stat.interval

Interface BinomialConfidenceInterval

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

Methods

Modifier and Type	Method and 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).