absolute_value_of_deviation_score
Differences
This shows you the differences between two versions of the page.
| Both sides previous revisionPrevious revisionNext revision | Previous revisionLast revisionBoth sides next revision | ||
| absolute_value_of_deviation_score [2018/10/02 13:56] – hkimscil | absolute_value_of_deviation_score [2020/11/05 17:53] – hkimscil | ||
|---|---|---|---|
| Line 4: | Line 4: | ||
| $ \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} | + | \text{SS} & = & \small{\sum} (X_i-\overline{X})^2 |
| & = & \text{. . . .} | & = & \text{. . . .} | ||
| - | & = & {\sum} | + | & = & {\sum} X_i^2 - \frac{({\sum} {X_i)^2}}{n} |
| \end{eqnarray*} | \end{eqnarray*} | ||
| $$ | $$ | ||
absolute_value_of_deviation_score.txt · Last modified: 2020/11/05 17:54 by hkimscil