Package jsc.onesample

Provides classes and interfaces concerned with frequentist inference for single samples, or paired samples that can be reduced to single samples by taking differences.

See:
Description

Class Summary

FisherSymmetryTest	Fisher's symmetry test.
LargeSampleMeanCI	Approximate confidence interval for the mean of a distribution.
LargeSampleProportionCI	This class represents an approximate confidence interval for a proportion p, obtained by observing x successes in a sequence of n independent Bernoulli trials with probability p.
NormalMeanCI	Confidence interval for the mean of a normal distribution.
NormalVarianceCI	Confidence interval for the variance of a normal distribution.
PairedTtest	This class represents a paired t-test.
PoissonMeanCI	This class represents a confidence interval for the mean of a Poisson distribution.
ProportionCI	This class represents the Clopper-Pearson "exact" confidence interval for a proportion p, obtained by observing x successes in a sequence of n independent Bernoulli trials with probability p.
SignMedianCI	Confidence interval for median of a distribution.
SignTest	This class represents a sign test for the median of a distribution.
Ttest	This class represents a t-test for the mean of a distribution.
WilcoxonMedianCI	Confidence interval for median of a symmetric distribution.
WilcoxonTest	Wilcoxon's signed-rank test for the median of a symmetric distribution.
Ztest	This class represents a z-test for the mean of a distribution.

Package jsc.onesample Description

Provides classes and interfaces concerned with frequentist inference for single samples, or paired samples that can be reduced to single samples by taking differences. Provides significance tests for the mean and median; confidence intervals for mean, median, proportion and variance.