Statistics › Section D · Discrete random variables › Topic D.6
The Poisson distribution
How many emails land in an hour, typos hide in a chapter, customers arrive in a minute? Counts of events in a fixed window, with no natural upper limit, follow the Poisson distribution - the model of rare happenings at a known rate.
In this topic
- Counting events per interval
- The Poisson setting
- The formula
- Mean equals variance
- Worked example: calls at a hotline
- Worked example: typos in a chapter
- Scaling λ to the interval
- The binomial connection
- Common mistakes to avoid
- Key takeaways
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