Statistical deviation and dispersion

dispersion of the values ​​of a random variable around its expected value

thumb|400px|right|Example of samples from two populations with the same mean but different variances. The red population has mean and variance (), while the blue population has mean and variance ().

thumb|200px|Example distribution with positive skewness. The data presented is from experiments on wheat grass growth.

statistic; square root of the mean of the squares

statistical property quantifying how much a collection of data is spread out

statistical property

permissible limit(s) of variation in an engineered component or system

relative standard deviation: standard deviation divided by the mean

difference of largest and smallest order statistic

Kurtosis (from ( or ), meaning 'curved, arching') refers to the degree of tailedness in the probability distribution of a real-valued, random variable in probability theory and statistics. Similar to skewness, kurtosis provides insight into specific characteristics of a distribution. Various methods exist for quantifying kurtosis in theoretical distributions, and corresponding techniques allow estimation based on sample data from a population. Different measures of kurtosis can yield varying interpretations.

statistic expressing the amount of random sampling error in a survey's results

statistical property in which some subpopulations in a collection of random variables have different variabilities from others

Risks arising from movements in market variables

summary statistic of variability

average of the squares of the errors between estimated and actual values

concept in statistics and wave theory

indicator for how well data points fit a line or curve

measures of deviation of an observed value from its theoretical value

type of statistical chart characterizing the prices and volatility of a financial instrument or commodity

In information theory and statistics, negentropy is used as a measure of distance to normality. It is also known as negative entropy or syntropy.

thumb|Schematisation of a variogram. The points represent the measured data points (observed) and the curve represents the model function used (empirical). Range stands for the range sought, sill for the plateau value reached at maximum range, nugget for the nugget effect.

effect of variables' uncertainties (or errors, more specifically random errors) on the uncertainty of a function based on them

moment of a random variable minus its mean

measure of difference between the observed value of a variable and some other value, often that variable's mean

multiplicative correction for an estimator for variance, such that it becomes unbiased

statistical measure

measure of collinearity in statistical regression models

automatic image thresholding method

normalized central moments

median of the absolute deviation from the median; a robust measure of the variability of a univariate sample of quantitative data

measure of difference between two continuous variables

statistics concept

theorem

measure of statistical dispersion

important algorithms in numerical statistics

normalized measure of the dispersion of a probability distribution

test proposed by Stephen Goldfeld and Richard Quandt

Kind of ratio

quality-of-fit statistic for a model that is often used for statistical hypothesis testing;a generalization of the idea of using the sum of squares of residuals in ordinary least squares to cases where model-fitting is achieved by maximum likelihood