This module is about continuous random variables, specifically the
Uniform,
Normal (Gaussian), and
Exponential families of random variables.
By completing this module, you will learn more about these
random variables, including:
- their probability density
functions (pdfs);
- their cumulative density functions
(CDFs);
- how samples from these
distributions are used to estimate the
population (or theoretical)
distribution.
In addition, certain real-life applications of these
distributions will be introduced.
The module is divided into three parts corresponding to each of the
three distributions being introduced. Each of these sections is
essentially a self-contained unit. You may follow them in the order
in which they are presented (
Uniform,
Normal and
Exponential), or you may choose to use
each of the three sections at different times. The
Wrap-Up section discusses further
applications and activities, as well as recommended reading, for all
three distributions.