p(x)≈ kn Its validation depends on two contradictory assumptions: o Region R be sufficiently small that the density is approximately constant over the region o Region R be sufficiently large (in relation to the value of that density)that the number k of samples falling inside the region is sufficient for the binomial distribution to be sharply peaked. Condition of converging to the true probability density in the limit n→o, o Ishrinks suitably with n ●k grows with n 7/27p(x) ≈ k/n V ▶Its validation depends on two contradictory assumptions: Region R be sufficiently small that the density is approximately constant over the region Region R be sufficiently large (in relation to the value of that density) that the number k of samples falling inside the region is sufficient for the binomial distribution to be sharply peaked. ▶ Condition of converging to the true probability density in the limit n → ∞, V shrinks suitably with n k grows with n 7 / 27