Central Limit Theorem: A sampling distribution of the mean is approximately normally distributed if the sample size is sufficiently large. This is true no matter what the population distribution is.

We study the asymptotic covariance function of the sample mean and quantile, and derive a new and surprising characterization of the normal distribution: the asymptotic covariance between the sample ...

The authors generated exact probability distributions for sample sizes up to 35 in each of three groups (n ≤ 105) and up to 10 in each of four groups (n ≤ 40). They compared the exact distributions to ...

Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Somer G. Anderson is CPA, doctor of accounting, and an accounting ...