sampling_distribution
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| Both sides previous revisionPrevious revisionNext revision | Previous revision | ||
| sampling_distribution [2016/05/17 15:24] – [n = 4 인 경우] hkimscil | sampling_distribution [2025/03/24 08:44] (current) – old revision restored (2016/05/17 15:23) hkimscil | ||
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| * n = 900인 경우? | * n = 900인 경우? | ||
| * n = 1600인 경우? | * n = 1600인 경우? | ||
| - | <WRAP clear /> | + | |
| ===== CLT ===== | ===== CLT ===== | ||
| 위에서 언급한 가상의 샘플평균들의 분포를 구한다면 그 분포곡선은 아래의 성질을 갖게 된다. | 위에서 언급한 가상의 샘플평균들의 분포를 구한다면 그 분포곡선은 아래의 성질을 갖게 된다. | ||
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| * $\sigma_{\tiny\overline{X}} = \frac{\sigma}{\sqrt{n}} = \frac{15}{\sqrt{100}} = 1.5$ | * $\sigma_{\tiny\overline{X}} = \frac{\sigma}{\sqrt{n}} = \frac{15}{\sqrt{100}} = 1.5$ | ||
| + | 아래는 읽지 마세요. | ||
| ====== English ====== | ====== English ====== | ||
| I mentioned in the earlier article that the standard error is actually standard deviation of sampling distribution. I would feel safe when I say standard deviation since I covered the concept already. However, I thought you might feel uneasy about " | I mentioned in the earlier article that the standard error is actually standard deviation of sampling distribution. I would feel safe when I say standard deviation since I covered the concept already. However, I thought you might feel uneasy about " | ||
sampling_distribution.1463468057.txt.gz · Last modified: 2016/05/17 15:24 by hkimscil