# Sampling Distribution Simulation

__Important Questions to consider__

- How does the sample size,
**N**, effect the rate at which the
**sampling distribution**(param=sample mean) approaches Normal distribution?
- How does the
**number of samples** taken effect the speed of convergence
of the **sampling distribution**(param=the sample mean) to Normal distribution?
- Are there
*Central Limit Theorem* (CLT) effects __generally__ present
for other parameter estimates (e.g., median, SD, range, etc.)? Why?
- Does the
**shape of the original distribution** effect the speed of convergence
of the **sampling distribution**(param=the sample mean) to Normal distribution?