The generalized likelihood ratio compares the constrained maximum from part (b) with the unrestricted maximum from part (a). Taking minus twice its logarithm gives
The unrestricted model has free parameters; the independence model has . Thus the asymptotic null distribution is , with four degrees of freedom. The supplied value gives
Therefore reject independence at the 5% level, but not at the 1% level. There is evidence of an association between the two classifications. The fitted expected counts are all about nine or larger, so the usual chi-squared approximation has no very small expected cells here.

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