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##
__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?