Uses of Class org.apache.commons.math3.stat.interval.ConfidenceInterval (Apache Commons Math 3.6.1 API)

## Uses of Class
org.apache.commons.math3.stat.interval.ConfidenceInterval

- Packages that use ConfidenceInterval
  Package | Description
  --- | ---
  org.apache.commons.math3.stat.interval | Classes providing binomial proportion confidence interval construction.

- - ### Uses of ConfidenceInterval in org.apache.commons.math3.stat.interval

    Methods in org.apache.commons.math3.stat.interval that return ConfidenceInterval
    Modifier and Type | Method and Description
    --- | ---
    `ConfidenceInterval` | WilsonScoreInterval.`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.
    `ConfidenceInterval` | ClopperPearsonInterval.`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.
    `ConfidenceInterval` | NormalApproximationInterval.`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.
    `ConfidenceInterval` | AgrestiCoullInterval.`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.
    `ConfidenceInterval` | BinomialConfidenceInterval.`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.
    `static ConfidenceInterval` | IntervalUtils.`getAgrestiCoullInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)` Create an Agresti-Coull binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    `static ConfidenceInterval` | IntervalUtils.`getClopperPearsonInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)` Create a Clopper-Pearson binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.
    `static ConfidenceInterval` | IntervalUtils.`getNormalApproximationInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)` Create a binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level using the Normal approximation to the binomial distribution.
    `static ConfidenceInterval` | IntervalUtils.`getWilsonScoreInterval(int numberOfTrials, int numberOfSuccesses, double confidenceLevel)` Create a Wilson score binomial confidence interval for the true probability of success of an unknown binomial distribution with the given observed number of trials, successes and confidence level.

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