smile.stat

Interface Hypothesis.chisq

Enclosing interface:

Hypothesis

public static interface Hypothesis.chisq

Chi-square test.

Method Summary

Modifier and Type	Method and Description
static ChiSqTest	test(int[][] table) Given a two-dimensional contingency table in the form of an array of integers, returns Chi-square test for independence.
static ChiSqTest	test(int[] bins, double[] prob) One-sample chisq test.
static ChiSqTest	test(int[] bins, double[] prob, int constraints) One-sample chisq test.
static ChiSqTest	test(int[] bins1, int[] bins2) Two-sample chisq test.
static ChiSqTest	test(int[] bins1, int[] bins2, int constraints) Two-sample chisq test.

Method Detail

test

static ChiSqTest test(int[] bins,
                      double[] prob)

One-sample chisq test. Given the array bins containing the observed numbers of events, and an array prob containing the expected probabilities of events, and given one constraint, a small value of p-value indicates a significant difference between the distributions.

test

static ChiSqTest test(int[] bins,
                      double[] prob,
                      int constraints)

One-sample chisq test. Given the array bins containing the observed numbers of events, and an array prob containing the expected probabilities of events, and given the number of constraints (normally one), a small value of p-value indicates a significant difference between the distributions.

test

static ChiSqTest test(int[] bins1,
                      int[] bins2)

Two-sample chisq test. Given the arrays bins1 and bins2, containing two sets of binned data, and given one constraint, a small value of p-value indicates a significant difference between the distributions.

test

static ChiSqTest test(int[] bins1,
                      int[] bins2,
                      int constraints)

Two-sample chisq test. Given the arrays bins1 and bins2, containing two sets of binned data, and given the number of constraints (normally one), a small value of p-value indicates a significant difference between the distributions.

test

static ChiSqTest test(int[][] table)

Given a two-dimensional contingency table in the form of an array of integers, returns Chi-square test for independence. The rows of contingency table are labels by the values of one nominal variable, the columns are labels by the values of the other nominal variable, and whose entries are nonnegative integers giving the number of observed events for each combination of row and column. Continuity correction will be applied when computing the test statistic for 2x2 tables: one half is subtracted from all |O-E| differences. The correlation coefficient is calculated as Cramer's V.