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 ...

Caroline Banton has 6+ years of experience as a writer of business and finance articles. She also writes biographies for Story Terrace. Carl Friedrich Gauss was a child prodigy and a brilliant ...

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 ...

Circular statistics is a specialised subfield of statistics that focuses on analysing data points distributed on a circle. Unlike conventional linear statistics, circular data is characterised by ...

This video describes the central limit theorem and some properties of the normal distribution. Understanding this will help you tie together many of the different types of hypothesis tests and ...

The normal distribution is pretty cool. It’s a mathematically determined probability distribution that does a good job of describing the patterns of variability between scores for many variables in ...

Imagine you're at a fair, and you see a booth with a giant dartboard. The booth owner challenges you to hit the bullseye. You take your shot, and the dart lands somewhere on the board. Now imagine ...

James Chen, CMT is an expert trader, investment adviser, and global market strategist. Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician ...