Statistics - Deviation Score (for one observation)

1 - About

The deviation score is the difference between two scores as :

  • a value <math>X</math>
  • and an other value (usually the predicted score: mean, …)

See also:

3 - Example

  • the mean <math>\bar{X}</math> of a distribution for the calculation of the correlation coefficient
  • or a predicted variable for the calculation of a regression coefficient

4 - Deviation Form

By putting all scores of a variable in a deviation form, the average for this variable will be equal to zero. It's called centering.

To center means to put in deviation form.

data_mining/deviation_score.txt · Last modified: 2017/09/13 16:04 by gerardnico