What is the intuition behind larger number of samples are better for statistics? It may be well-known that when we take statistics, we essentially need a large number of samples. Because I am taught this fact before studying the math, I have been here without exploring the reason. What is the intuition behind larger number of samples are better for statistics?
Intuitively we can imagine statistics as trying to see an image using only finitely many pixels/samples. If you have more pixels/samples and they're well-distributed, then the image is more clear.