For a random variable X, having a binomial distribution with parameters n and p, a transformation that stabilizes the variance and produces a variable with an approximate normal distribution whose variance is almost independent of p is
An improvement suggested by Anscombe in 1948 is
Both transformed variables have expected value and variance given approximately by sin−1 (√p) and 1/(4n), respectively. See also Freeman–Tukey transformation.