kipriyanovichAlright, future engineers!
Central Limit Theorem (CLT): Sample means tend towards a Normal Distribution as sample size grows, regardless of parent distribution. Ex: Avg weights from many small batches form a bell curve. Pro-Tip: Crucial for inference; it lets us use normal stats even with non-normal data!