Explore the world of probability theorems that form the foundation of statistical theory!
Key Probability Theorems
- Law of Large Numbers: As the number of trials increases, the sample mean will get closer to the expected value.
- Central Limit Theorem: With a large enough sample size, the sampling distribution of the mean will be normally distributed, regardless of the population distribution.
- Bayes' Theorem: Describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
Further Reading and Resources
Enhance your probability knowledge with these resources: