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c:ms:2019:schedule:week03

Week 3 내용

Central Tendency

  • Central Tendency (집중경향)
  • Dispersion (variability) – 분산(변산성)
  • 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
    • $ \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 $

Sampling Distribution, Standard Error

CLT에 관한 정리

c/ms/2019/schedule/week03.txt · Last modified: 2019/03/25 07:34 by hkimscil