Explore: Variance (statistics)

In probability theory and statistics, variance is the expected value of the squared deviation from the mean of a random variable. The standard deviation

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

In statistics and machine learning, the bias–variance tradeoff describes the relationship between a model's complexity, the accuracy of its predictions

In probability theory and statistics, a conditional variance is the variance of a random variable given the value(s) of one or more other variables. Particularly

Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is

In statistics a minimum-variance unbiased estimator (MVUE) or uniformly minimum-variance unbiased estimator (UMVUE) is an unbiased estimator that has

statistical dispersion are the variance, standard deviation, and interquartile range. For instance, when the variance of data in a set is large, the data

Foundations of statistics List of statisticians Official statistics Multivariate analysis of variance "statistics". Oxford English Dictionary (Online ed.). Oxford

In statistics, pooled variance (also known as combined variance, composite variance, or overall variance, and written σ 2 {\displaystyle \sigma ^{2}}

In statistics, the fraction of variance unexplained (FVU) in the context of a regression task is the fraction of variance of the regressand (dependent