Science:MATH105 Probability/Lesson 2 CRV

In the previous lesson, we defined random variables in general, but focused only on discrete random variables. In this lesson, we properly treat continuous random variables.

If for example X is the height of a randomly selected person in British Columbia, or X is tomorrow's low temperature at Vancouver International Airport, then X is a continuously varying quantity.

What This Lesson Covers

In this lesson we discuss

• continuous random variables
• the cumulative distribution function
• the probability density function
• expectation, variance and standard deviation of a continuous random variable

Simply reading the content in this lesson will not be sufficient: students will need to complete a sufficient number of Exercises and WeBWorK problems in order to prepare themselves for the final exam.