This article was originally published on Built In by Eric Kleppen. Variance is a powerful statistic used in data analysis and machine learning. It is one of the four main measures of variability along ...

Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

Subsampling and block resampling methods have been suggested in the literature to nonparametrically estimate the variance of statistics computed from spatial data. Usually stationary data are required ...

Daniel Jassy, CFA, is an Investopedia Academy instructor and the founder of SPYderCRusher Research. He contributes to Excel and Algorithmic Trading. David Kindness is a Certified Public Accountant ...

Stock's historical variance measures its return stability over time. Higher variance indicates greater return unpredictability and risk. Calculate variance using Excel to simplify the process for ...

It is of interest to know what the covariance of sample mean and sample variance is without the assumption of normality. In this article we study such a problem. We show a simple derivation of the ...

Cost and schedule variance data are part of earned value analysis, which is a tool that small and large businesses use as an early-warning system to identify and manage problems in ongoing projects.

Even the best budgets rarely turn out exactly the way that planners expect. Whenever you're planning in advance for a period of time, you'll inevitably make some mistakes in your estimates, and it's ...

A stock's historical variance measures the difference between the stock's returns for different periods and its average return. A stock with a lower variance typically generates returns that are ...

Financial variance is the difference between budgeted and actual spending. Positive variance means spending less, negative indicates overspending. Regular monitoring reduces surprises and improves ...