Discrete vs. Continuous Random Variables

We now started learning about continuous random variables. These are random variables which can take (more or less) any value. Examples of these types of variables are the length of a piece of wire produced by a machine, the weight of a bag of groceries, the time it takes to print a page from a printer/copier, etc.

By contrast, discrete random variables have a limited (and usually finite) number of values - for example, the number of credits that a student has earned, the age of the employees of a company, the pass/fail results of an experiment such as flipping a coin, etc.

## Saturday, January 26, 2008

### Lecture 4 - Ch 6 - Continuous Random Variables

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