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  1. Dictionary
    variance
    /ˈvɛːrɪəns/

    noun

    • 1. the fact or quality of being different, divergent, or inconsistent: "her light tone was at variance with her sudden trembling"
    • 2. an official dispensation from a rule or regulation, typically a building regulation.

    More definitions, origin and scrabble points

  2. Learn how to calculate and interpret variance, a measure of variability that assesses the average squared difference between data values and the mean. Compare the population and sample variance formulas and see examples of how to use them.

  3. Jul 16, 2024 · Variance is a statistical measure of how far each number in a data set is from the mean. It is used to assess volatility and risk in finance and other fields. Learn how to calculate variance and its square root, standard deviation.

  4. en.wikipedia.org › wiki › VarianceVariance - Wikipedia

    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

  5. Variance is the formal term for the difference or discrepancy between two or more things. Learn how to use variance in different contexts, such as law, accounting, and statistics, with examples and synonyms.

  6. Jan 18, 2023 · Variance is a measure of variability that shows how spread out the data are from the mean. Learn how to calculate variance for population and sample data, and why it matters for statistical tests and group comparisons.

  7. 2 days ago · Variance is a statistic that measures how much a random variable deviates from its expected value. Learn how to calculate variance, its properties, and how it relates to standard deviation with examples and formulas.

  8. Variance is the average of the squared differences of a random variable from its mean. Learn how to calculate variance for population and sample data, and how to use it to find standard deviation and interpret variability.