In this section various counting methods are introduced and used to calculate more complex probability questions.
The first two lessons go over different counting methods. In lesson one the decision algorithm is introduced as a framework for recognizing and organizing the additive and mulitplicative principles. In lesson two permutations and combinations are defined and formulas for them are derived and explained.
In the third lesson the counting techniques of lesson 1 and 2 are used to calculate the probability of given events.
The last two lessons explore conditional probability and define terms such as independence and mutaul exclusivity. Lesson 5 specifically deals with Bayes' theorem and word problems that utilize it.
- The Decision Algorithm
- Permutations and Combinations
- Probability via Counting
- Conditional Probability
- Bayes' Theorem