Continuity Correction

When we approximate a discrete distribution, such as the binomial, by a continuous distribution, such as the normal, we need to make adjustments so “things don’t fall in the cracks.” From the Central Limit Theorem, we know that a sample distribution from a population, even a non-normal one, becomes normal if the sample size is …

Continuity Correction – Filling the cracks in the Normal Approximation to the Binomial Read More »