6.2 The Normal Distribution (pp. 220-231) You are not required to memorize the formula for the normal probability density function, but rather know the properties (symmetry and bell shape).

The goal is to show how to solve the probability density functions (PDFs) and use those solutions to approximate the area under a curve in order to obtain the z-value or, in the case of the z-value ...

The normal distribution is also called the "Gaussian distribution" or "bell curve". A normal distribution has two parameters, the mean $\mu$, and the variance $\sigma^2$. The mean can be any real ...