ClusterSplit[c, n] splits the cluster c into n clusters.
DistanceMatrix[list] gives a matrix of distances or dissimilarities between the elements of list.
ChiSquareCI[var, df] gives a confidence interval based on a \[Chi]^2 distribution with df degrees of freedom.
ChiSquarePValue[x, df] gives the cumulative probability beyond x for the \[Chi]^2 distribution with df degrees of freedom.
FRatioCI
(Hypothesis Testing Package Symbol) FRatioCI[ratio, n, m] gives a confidence interval based on an F-ratio distribution with n and m degrees of freedom.
FRatioPValue[x, n, m] gives the cumulative probability beyond x for the F-ratio distribution with n and m degrees of freedom.
MeanCI
(Hypothesis Testing Package Symbol) MeanCI[list] gives a confidence interval for the population mean estimated from list.
NormalCI
(Hypothesis Testing Package Symbol) NormalCI[\[Mu], \[Sigma]] gives a confidence interval based on a normal distribution.
StudentTCI[\[Mu], \[Sigma], df] gives a confidence interval based on Student's t distribution with df degrees of freedom.
StudentTPValue[x, df] gives the cumulative probability beyond x for Student's t distribution with df degrees of freedom.