In Friedman's test, the distribution of the test statistic Q approximates this distribution. Wilks'stheorem shows that this distribution approximates negative two times the natural log of the likelihoodratio for nested models. Yates's continuity correction is applied to tests that use this distribution oncontingency tables. One test statistic is approximated by this distribution, calculated as the sum of theobserved minus expected values (*) squared, divided by the expected value. This distribution describes the sumof squares of a number of standard normal random variables. The only parameter of this distribution is degrees offreedom. For 10 points, name this distribution used in Pearson's "goodness of fit" test.
In Friedman's test, the distribution of the test statistic Q approximates this distribution. Wilks'stheorem shows that this distribution approximates negative two times the natural log of the likelihoodratio for nested models. Yates's continuity correction is applied to tests that use this distribution oncontingency tables. One test statistic is approximated by this distribution, calculated as the sum of theobserved minus expected values (*) squared, divided by the expected value. This distribution describes the sumof squares of a number of standard normal random variables. The only parameter of this distribution is degrees offreedom. For 10 points, name this distribution used in Pearson's "goodness of fit" test.
In Friedman's test, the distribution of the test statistic Q approximates this distribution.
central chi-squared distribution