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b:head_first_statistics:estimating_populations_and_samples [2022/11/15 23:44] – [Sampling distribution of sample mean] hkimscilb:head_first_statistics:estimating_populations_and_samples [2022/11/15 23:52] – [Using CLT for the binomial distribution] hkimscil
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 ===== Using CLT for the binomial distribution ===== ===== Using CLT for the binomial distribution =====
-$X \sim B(n, p)$, n이 30이 넘는 조건에서$\mu = np$, $\sigma^2 = npq$ 이므로 이를 $\overline{X} \sim N(\mu, \frac{\sigma^2}{n})$에 대입해 보면: +$X \sim B(n, p)$ 에서 $\mu = np$, $\sigma^2 = npq$ 이고, 
 +n이 30이 넘는 조건에서 이항분포가 정상분포를 이룬다고 하므로   
 +$\overline{X} \sim N(\mu, \frac{\sigma^2}{n})$에 대입해 보면: 
 $$\overline{X} \sim N(np, \; pq) $$ $$\overline{X} \sim N(np, \; pq) $$
  
b/head_first_statistics/estimating_populations_and_samples.txt · Last modified: 2022/11/17 12:47 by hkimscil

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