midProbability
What is the central limit theorem?
Updated May 17, 2026
Short answer
The CLT states that sum of independent variables tends toward a normal distribution.
Deep explanation
Regardless of original distribution, the mean of sufficiently large independent samples becomes approximately normal. This is fundamental to statistical inference.
Real-world example
Heights distribution in a population.
Common mistakes
- Assuming CLT applies for small samples.
Follow-up questions
- What are CLT conditions?
- Why is normal distribution special?