====== Week 3 내용 ======
===== Central Tendency =====
  * Central Tendency (집중경향)
  * Dispersion (variability) -- 분산(변산성)
  * [[:range]]
  * [[:outliers]]: It is beyond our scope. Please just refer to it. Won't be appearing in tests. 
  * [[:Variance]] 분산 혹은 변량 
    * 표본변량 $ s^2 $
    * 모집단변량(전집) $ \sigma^2 $
  * [[:Standard Deviation]] 표준편차
  * Variance calculation formula
    * {{anchor:variance_calculation_formula}} $ \displaystyle S_x^2 = \displaystyle \frac {\Sigma X^2 - \frac{(\Sigma X)^2}{N} } {N-1} $
    * $ \displaystyle \sigma_x^2 = \displaystyle \frac {\Sigma X^2 - \frac{(\Sigma X)^2}{N} } {N} = \displaystyle \frac {\Sigma X^2}{N} - \frac {(\Sigma X)^2}{N^2} = \displaystyle \frac {\Sigma X^2}{N} - \bigg(\frac {\Sigma X}{N}\bigg)^2 = \displaystyle \frac {\Sigma X^2}{N} - \mu^2 $
  * [[:Degrees of Freedom]] N-1
    * [[:Why n-1]]
===== Sampling Distribution, Standard Error =====
  * [[:Sampling]]
  * [[:Sampling Distribution]]
  * [[:Central Limit Theorem]]
  * [[:Standard Error]]
===== CLT에 관한 정리 =====