Variable Overhead Spending Variance

Variance - In probability theory and statistics, the variance of a random variable is a measure of its statistical dispersion, indicating how far from the expected value its values typically are.

Vysochanskiï-Petunin inequality - In probability theory, the Vysochanskiï-Petunin inequality gives a lower bound for the probability that a random variable with finite variance lies within a certain number of standard deviations of the variable's mean. The sole restriction on the random variable is that the distribution be unimodal (and the random variable continuous).

MANOVA - Multivariate analysis of variance (MANOVA) is an extension of analysis of variance (ANOVA) methods to cover cases where there is more than one dependent variable and where the dependent variables cannot simply be combined. As well as identifying whether changes in the independent variables have a significant effect on the dependent variables, the technique also seeks to identify the interactions among the independent variables and the association between dependent variables.

Dependent variable - In experimental design, a dependent variable is a variable dependent on another variable (called the independent variable). In simple terms the independent variable will cause an apparent change in the dependent variable, hence it needs a catalyst in order to change.

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