Sampling Distribution

It is the distribution of sample statistic like mean for example
- Sample 5 numbers from data and calculate the mean is an example of sample statistic
- Sample 20 numbers from data and calculate the mean is another example
- Make it multiple times and, you have the sampling distribution
It is bell-shaped
- This phenomenon is called Central Limit Theorem
Variability error on the sampling distribution: SE=\(\frac{S}{\sqrt{n}}\)
- To compute SE can be expensive, for that, we use Bootstrap
  - Bigger samples give less SE
  - It is different from standard deviation