Dispersion represents the variability or range of different values ​​a variable can take.

None of these estimates takes into account statistical spreads.

The fit of the model will be assessed using the Deviance statistic.

To make it more interesting, you will be shown a statistical breakdown of your results.

Parameters of statistical dispersion, such as variance, measure its converse, heterogeneity.

It is investigated whether or not the statistical dispersion measure fulfils a decision criterion relative to a reference measure.

Many cryptocurrency project teams confuse statistical dispersion with actual wealth distribution.

Each new weight vector is compared with the reference class, and it is then determined whether the difference exceeds a predetermined statistic spread value.

To verify their findings, the researchers used the GINI coefficient which is usually used in economics to measure statistical dispersion.

The researchers used the GINI coefficient, traditionally used in economics to measure statistical dispersion.

The annual influx of such phenomena, considering statistical dispersion, amounts to approximately 6%, and this unsettling tendency is predicted to continue.

This is why you introduce a normalized covariance, called a correlation coefficient, by dividing the covariance by the dispersion of the x and y values

All the above measures of statistical dispersion have the useful property that they are location-invariant and linear in scale.

All the above measures of statistical dispersion have the useful property that they are location-invariant, as well as linear in scale.

The calculating of the signal characteristic comprises calculating a value representative of a statistical dispersion, e.g., the standard deviation, of the values of the skin conductance signal through the measurement interval.