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 ...

Statisticians frequently assume that data follow a normal distribution when developing statistical methods and performing practical data analysis. In most introductory statistics textbooks, the ...

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 ...

Description: An introductory treatment of probability theory, including distribution and density functions, moments, and random variables. Applications of normal and exponential distributions.

Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul University. Vikki Velasquez is a researcher and writer who has ...

Statistical parameters of the log-normal distribution have been widely used in the textural analysis of particle size data. Graphical or moment measures have traditionally been used to discriminate ...