The chi-square table provides critical values for the chi-square distribution, which is commonly used in tests of independence, goodness of fit tests, and testing hypotheses about population variance.
Suppose you are conducting a goodness of fit test with 5 categories (df = 4) and a significance level of α = 0.05.
qchisq(1 - 0.05, 4)
# [1] 9.487729For a chi-square test of independence with a 3×4 contingency table (df = (3-1)×(4-1) = 6) and a significance level of α = 0.01:
qchisq(1 - 0.01, 6)
# [1] 16.81189The chi-square table provides critical values for the chi-square distribution, which is commonly used in tests of independence, goodness of fit tests, and testing hypotheses about population variance.
Suppose you are conducting a goodness of fit test with 5 categories (df = 4) and a significance level of α = 0.05.
qchisq(1 - 0.05, 4)
# [1] 9.487729For a chi-square test of independence with a 3×4 contingency table (df = (3-1)×(4-1) = 6) and a significance level of α = 0.01:
qchisq(1 - 0.01, 6)
# [1] 16.81189