Enum NormalConfidenceInterval

java.lang.Object
java.lang.Enum<NormalConfidenceInterval>
org.apache.commons.statistics.interval.NormalConfidenceInterval
All Implemented Interfaces:
Serializable, Comparable<NormalConfidenceInterval>

Generate confidence intervals for a normally distributed population.
Since:
1.2
See Also:
  • Enum Constant Details

    • MEAN

      public static final NormalConfidenceInterval MEAN
      Create a confidence interval for the true mean of an unknown normally distributed population.
    • VARIANCE

      public static final NormalConfidenceInterval VARIANCE
      Create a confidence interval for the true variance of an unknown normally distributed population.
  • Method Details

    • values

      public static NormalConfidenceInterval[] values()
      Returns an array containing the constants of this enum type, in the order they are declared.
      Returns:
      an array containing the constants of this enum type, in the order they are declared
    • valueOf

      public static NormalConfidenceInterval valueOf(String name)
      Returns the enum constant of this type with the specified name. The string must match exactly an identifier used to declare an enum constant in this type. (Extraneous whitespace characters are not permitted.)
      Parameters:
      name - the name of the enum constant to be returned.
      Returns:
      the enum constant with the specified name
      Throws:
      IllegalArgumentException - if this enum type has no constant with the specified name
      NullPointerException - if the argument is null
    • fromErrorRate

      public Interval fromErrorRate(double mean, double variance, long n, double alpha)
      Create a confidence interval from an independent sample from an unknown normally distributed population with the given error rate.

      The error rate alpha is related to the confidence level that the interval contains the true probability of success as alpha = 1 - confidence, where confidence is the confidence level in [0, 1]. For example a 95% confidence level is an alpha of 0.05.

      The unbiased variance is the sum of the squared deviations from the mean divided by n - 1.

      Parameters:
      mean - Sample mean.
      variance - Unbiased sample variance.
      n - Sample size.
      alpha - Desired error rate that the true probability of success falls outside the returned interval.
      Returns:
      Confidence interval containing the target with error rate alpha
      Throws:
      IllegalArgumentException - if n <= 1, or if alpha is not in the open interval (0, 1).