If the null hypothesis is true, then log-likelihood ratio values based on large sample sizes will be chi-squared distributed.

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The log-likelihood ratio, when the null hypothesis is true and under certain regularity conditions, follows a chi-squared distribution asymptotically as the sample size increases. This is a foundational result in statistical theory, particularly in the context of hypothesis testing.

If the Null Hypothesis Is True, Then Log-Likelihood Ratio Values