The KolmogorovTwoSample type exposes the following members.

Properties

	Name	Description
	MaximumDifference	$D^{+}$ , the maximum difference between the theoretical and empirical CDF's.
	MinimumDifference	$D^{-}$ , the minimum difference between the theoretical and empirical CDF's.
	NumberMissingX	Returns the number of missing values in the x sample.
	NumberMissingY	The number of missing values in the y sample.
	OneSidedPValue	Probability of the statistic exceeding D under the null hypothesis of equality and against the one-sided alternative. An exact probability is computed if the number of observation is less than or equal to 80, otherwise an approximate probability is computed.
	TestStatistic	The test statistic, $D = \max(D^{+}, D^{-})$ .
	TwoSidedPValue	Probability of the statistic exceeding D under the null hypothesis of equality and against the two-sided alternative. This probability is twice the probability, , reported by OneSidedPValue, (or 1.0 if $p_1 \ge 1/2$ ). This approximation is nearly exact when $p_1 \lt 0.1$ .
	Z	The normalized D statistic without the continuity correction applied.

See Also