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In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation (SD) is obtained as the square root of the variance. Variance is a measure of dispersion, meaning it is a measure
Sales volume variance can be considered favorable or unfavorable. Causes of sales volume variance include changes in competition and sales prices, changes in consumer desires (i.e. fashion trends over time), and impositions or removals of government trade restrictions. [2]
The sum of squared deviations is a key component in the calculation of variance, another measure of the spread or dispersion of a data set. Variance is calculated by averaging the squared deviations. Deviation is a fundamental concept in understanding the distribution and variability of data points in statistical analysis. [1]
Analysis of variance (ANOVA) is a family of statistical methods used to compare the means of two or more groups by analyzing variance. Specifically, ANOVA compares the amount of variation between the group means to the amount of variation within each group. If the between-group variation is substantially larger than the within-group variation ...
Variance (accounting), the difference between a budgeted, planned or standard cost and the actual amount incurred/sold; Variance Films, a film distribution company founded in 2008; Variance (land use), a deviation from the set of rules a municipality applies to land use and land development; Variance (2009), third album by electronic musician Jega
This follows from the fact that the variance and mean are independent of the ordering of x. Scale invariance: c v (x) = c v (αx) where α is a real number. [22] Population independence – If {x,x} is the list x appended to itself, then c v ({x,x}) = c v (x). This follows from the fact that the variance and mean both obey this principle.
Variance analysis can be carried out for both costs and revenues. Variance analysis is usually associated with explaining the difference (or variance) between actual costs and the standard costs allowed for the good output. For example, the difference in materials costs can be divided into a materials price variance and a materials usage variance.
Developed by Stephen Klinger, the Klinger Volume Oscillator is used to predict long-term trends of the flow of money while staying responsive enough to be affected by short term fluctuations in volume. [10] The indicator is a function of the trade volume and price trends for a given security, whole output takes the form of an oscillator.