The normal distribution (also known as the Gaussian distribution) is arguably the most important distribution in Statistics. It is often used to represent continuous random variables occurring in ...

Methods are given for constructing, from past sample data, prediction intervals (i) to contain the ratio of the variances of future samples from two normal distributions and (ii) to contain the ratio ...

In this note it is shown that P(η - ξ > 0) can easily be calculated using tables of the bivariate normal distribution, where ξ, η are independent, ξ has a normal distribution, and η has a truncated ...