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  1. Variance - 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 is obtained as the square root of the variance. …

  2. Variance Calculator

    Nov 4, 2025 · Calculates variance and standard deviation for a data set. Calculator finds variance, the measure of data dispersion, and shows the work for the calculation.

  3. Variance: Definition, Formulas & Calculations - Statistics by Jim

    Variance is a measure of variability in statistics. It assesses the average squared difference between data values and the mean. Unlike some other statistical measures of variability, it incorporates all …

  4. How to Calculate Variance | Calculator, Analysis & Examples

    Jan 18, 2023 · The variance reflects the variability of your dataset by taking the average of squared deviations from the mean.

  5. How to Calculate Variance – mathsathome.com

    The larger the variance, the more spread a set of data is. The variance is the square of the standard deviation. The units of variance are the square of the units measured in the data set. For example, if …

  6. Variance | Brilliant Math & Science Wiki

    Variance is a statistic that is used to measure deviation in a probability distribution. Deviation is the tendency of outcomes to differ from the expected value.

  7. Variance Formula Explained - Definition, Formula & Solved Examples

    4 days ago · Learn the variance formula in statistics with step-by-step explanation, examples, population vs sample variance, and FAQs to master the concept easily.

  8. Variance | Definition based on the expected value - Statlect

    Learn how variance is defined in probability theory by using the expected value. Understand the formula that defines variance.

  9. What Is Variance in Statistics? Definition, Formula, and Example

    Jun 17, 2025 · Variance is a statistical measurement of how large of a spread there is within a data set. It measures how far each number in the set is from the mean (average), and thus from every other …

  10. Standard Deviation and Variance - Math is Fun

    To calculate the variance follow these steps: Then for each number: subtract the Mean and square the result (the squared difference). Then calculate the average of those squared differences. (Why …