absolute_value_of_deviation_score
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| Both sides previous revisionPrevious revision | Next revisionBoth sides next revision | ||
| absolute_value_of_deviation_score [2018/10/02 13:56] – hkimscil | absolute_value_of_deviation_score [2018/10/02 13:57] – hkimscil | ||
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| $ \text{absolute value of deviation score} = \displaystyle \frac {\sum |(X_i-\mu)| }{N} $ | $ \text{absolute value of deviation score} = \displaystyle \frac {\sum |(X_i-\mu)| }{N} $ | ||
| - | - 우선, 실제로 이것이 쓰이기도 한다. | + | - 우선, raw data에서 분산값을 계산하기가 쉽다. (See http:// |
| - | - 그러나, raw data에서 분산값을 계산하기가 쉽다. (See http:// | + | |
| \begin{eqnarray*} | \begin{eqnarray*} | ||
| \text{SS} & = & \small{\sum} \normal (X_i-\overline{X})^2 | \text{SS} & = & \small{\sum} \normal (X_i-\overline{X})^2 | ||
absolute_value_of_deviation_score.txt · Last modified: 2020/11/05 17:54 by hkimscil