Statistics Lab
Central Limit Theorem
A small statistics lab for making intuition visible: many samples slowly turn into a more stable picture.
Source distribution
Sample means + normal comparison
- Means
- 0
- Mean
- 0
- Std Dev
- 0
- Expected Std Error
- 0
mean(sample_1 ... sample_n) -> approximately normal
readme.txt
What this lab is meant to show
Statistics is most interesting to me when it does more than produce formulas: it should make decisions sharper. This demo draws many samples on the server and shows how their means move toward the expected normal shape as the run grows.
- Choose a source distribution.
- Start a server-side run and extend it in batches of 100 samples.
- Compare the histogram of sample means with the normal approximation.