In mathematics and statistics, deviation is a measure of difference for interval and ratio variables between the observed value and the mean. The sign of deviation, either positive or negative, indicates whether the observation is larger than or smaller than the mean. The magnitude of the value reports how different (in the relevant numerical scale) an observation is from the mean.

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  • In mathematics and statistics, deviation is a measure of difference for interval and ratio variables between the observed value and the mean. The sign of deviation, either positive or negative, indicates whether the observation is larger than or smaller than the mean. The magnitude of the value reports how different (in the relevant numerical scale) an observation is from the mean. Deviations are known as errors or residuals: deviations from the population mean are errors, while deviations from the sample mean are residuals. One of the features of the mean is that the sum of the deviations across the entire set of all observations is always zero, corresponding to the fact that the average deviation is zero.
  • In statistica la devianza, o somma dei quadrati degli scarti dalla media, è un indice di dispersione dei dati. La sua espressione è <math>devianza=\sum_{i=1}^n(x_i-\mu)^2</math> dove <math>\mu</math> è la media dei dati. La devianza è utilizzata per calcolare la varianza dividendola per il numero dei dati. La devianza è utilizzata nell'analisi della varianza.
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  • In mathematics and statistics, deviation is a measure of difference for interval and ratio variables between the observed value and the mean. The sign of deviation, either positive or negative, indicates whether the observation is larger than or smaller than the mean. The magnitude of the value reports how different (in the relevant numerical scale) an observation is from the mean.
  • In statistica la devianza, o somma dei quadrati degli scarti dalla media, è un indice di dispersione dei dati. La sua espressione è <math>devianza=\sum_{i=1}^n(x_i-\mu)^2</math> dove <math>\mu</math> è la media dei dati. La devianza è utilizzata per calcolare la varianza dividendola per il numero dei dati. La devianza è utilizzata nell'analisi della varianza.
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  • Deviation (statistics)
  • Devianza (statistica)
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