De Morgan's Laws
Compact study note.
Summary
De Morgan's laws describe how complements distribute over unions and intersections. They are used constantly when translating probability statements involving 'not', 'and', and 'or'.[1]
Prerequisites
Notation and Assumptions
Complements are taken relative to
Essential Result
De Morgan identities:
The same identities hold for countable families.
Small Example
If events are 'rain' and 'wind', then 'neither rain nor wind' is
Common Mistakes
- Confusing 'not both' with 'neither'.
- Forgetting that complements depend on the chosen sample space.
Connections
References
OpenStax, Introductory Statistics 2e, "Chapter 3: Probability Topics", https://openstax.org/books/introductory-statistics-2e/pages/3-introduction ↩︎