b:head_first_statistics:estimating_populations_and_samples
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Both sides previous revisionPrevious revision | Last revisionBoth sides next revision | ||
b:head_first_statistics:estimating_populations_and_samples [2022/11/15 23:44] – [Sampling distribution of sample mean] hkimscil | b: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 | + | $X \sim B(n, p)$ 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