Review challenges in the use of normality testing situations and recommendations on how to assess data distributions in the pharmaceutical development manufacturing environment Statisticians ...

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 ...

Forecasting for any small business involves guesswork. You know your business and its past performance, but you may not be comfortable predicting the future. Using Excel is a great way to perform what ...

A statistical analysis of the distribution of returns can be used to determine many key characteristics of a stock's behavior. Volatility is not the only useful measure of risk that can be determined ...

This article addresses a gap in many, if not all, introductory mathematical statistics textbooks, namely, transforming a random variable so that it better mimics a normal distribution. Virtually all ...

Skew‐normal distributions extend the traditional normal model by incorporating a parameter that accounts for asymmetry, thereby providing a more flexible framework for modelling real‐world data.

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn ...