In statistics, the Neyman–Pearson lemma, named after Jerzy Neyman and Egon Pearson, states that when performing a hypothesis test between two simple hypotheses H₀: θ = θ₀ and H₁: θ = θ₁, the likelihood-ratio test which rejects H₀ in favour of H₁ when