The likelihood ratio is a statistical measure that compares the probability of obtaining a certain observed outcome under two different hypotheses. This concept is crucial for hypothesis testing, as it helps determine which of the competing hypotheses is more supported by the observed data. A higher likelihood ratio indicates stronger evidence against the null hypothesis in favor of the alternative hypothesis, making it a key component in both likelihood ratio tests and Bayesian inference.
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