🚫 Central Limit Theorem
= the phenomenon that the sampling distribution of the sample ⌀ Mean approaches a 🔔 Normal distribution
📖 Example:
bigger N → narrower distribution ![[CleanShot 2021-05-04 at 11.27.06@2x.png|500]]
Sample SD
The sample σ Standard deviation underestimates the population SD σ → divide through by N-1 (N = sample size)
Use case
- when you only have small amounts of data
- → good alternative to 🍔 Law of large numbers