def normal_approximation_to_binomial(n, p):
 mu = (p * n)
 sigma = math.sqrt(((p * (1 - p)) * n))
 return (mu, sigma)

def normal_approximation_to_binomial ( n , p ) : mu = ( p * n ) sigma = math . sqrt ( ( ( p * ( 1 - p ) ) * n ) ) return ( mu , sigma )
finds mu and sigma corresponding to a binomial .