Continuous probability distributions apply to random variables that can take on any value within a given range. These values are not countable because there are infinite possibilities within any ...

Continuous Probability Distributions Definitions Continuous Variable: can take on any value between two specified values. Obtained by measuring. Discrete Variable: not continuous variable (cannot take ...

A continuous distribution refers to a random variable drawn from an infinite set. Examples of continuous random variables include speed, distance, and some asset returns.

A set of independence statements may define the independence structure of interest in a family of joint probability distributions. This structure is often captured by a graph that consists of nodes ...

Discrete Probability Distributions Definitions Area of Opportunity: (for Poisson distribution) a continuous interval (time, length, area, volume, etc). Binomial Distribution has the following ...