After this lessons, students will be able to:
- Define and describe sampling distribution.
- Define, describe and compute standard error of the mean.
- Describe the Central Limit Theorem.
Before this lesson(s), students should already be able to:
- Iterate and write functions in Python
- Explain difference between statistics and parameters
For more information on this topic, check out the following resources:
- The Central Limt Theorem animation
- Another, short explanation of the CLT
- Explaining the Central Limit Theorem with Bunnies & Dragons