Bayes' Theorem: When an Alert Goes Off
This lesson is part of the course
In this lesson
You compute how likely an alert is to be real for Kestrel's webshop fraud filter and for a health screening test, and count false alarms in a group of 10,000.
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Lessons in this course
- Probability Basics: Counting Outcomes & Complements Locked
- Counting: Permutations & Combinations Locked
- Conditional Probability & Two-Way Tables Locked
- Bayes' Theorem: When an Alert Goes Off Locked
- Expected Value: Projects, Insurance & Games Locked
- Binomial Distribution: Quality Inspection Locked
- Poisson Distribution: Walk-ins per Hour Locked
- Normal Distribution, z-Scores & a First Simulation Locked