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Overview

In this topic we’re going to go deeper into the concepts of continuous probability distributions (PDFs) and stochastic modeling. And we’re going to do this by getting to know the normal distribution quite closely. We’ll look at and formally define the normal probability distribution function itself, while building some intuition around it. We’ll begin to talk about why that matters, practically speaking. And we’ll build some skills at getting probabilities as areas under the normal curve, and getting z-score values for for given probabilities. In doing so, you’ll be getting pretty good at using a standard normal table and Excel for these tasks too.

Directions

1. If you’re in my class, make sure you’re there for our discussion-based lectures.

2. Work your way through the lessons and self-assessments (under “Resource content”) below. Note that because we covered so many conceptual topics and examples in class, there are only applied problems for this topic.