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  1. Variance - Wikipedia

    Variance is a measure of dispersion, meaning it is a measure of how far a set of numbers are spread out from their average value. It is the second central moment of a distribution, and the covariance of the …

  2. 方差_百度百科

    方差(variance)这个名词率先由罗纳德·费希尔(Ronald Fisher)在1918年发表的论文《孟德尔遗传假定下的亲缘之间的相关性》 (《The Correlation between Relatives on the Suppositionof Mendelian …

  3. Standard Deviation and Variance - Math is Fun

    The average of the squared differences from the Mean. ... When we have "N" data values that are: ... Sample Variance = 108,520 / 4 = 27,130 Sample Standard Deviation = √27,130 = 165 (to the nearest …

  4. Variance - GeeksforGeeks

    Nov 4, 2025 · Variance is a number that tells us how spread out the values in a data set are from the mean (average). It shows whether the numbers are close to the average or far away from it.

  5. 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.

  6. 统计学03:方差 - 知乎

    3 英文用词的差别。 方差,英文是variance,而标准差是 deviation。 variance 和 deviation 的区别在哪里? variance:强调的是 物物之间,两个数据之间,每个数据和均值之间的差别。 方差的确也是这么计 …

  7. Variance - Definition, Symbol, Formula, Properties, and Examples

    Jan 2, 2025 · ‘Variance’ refers to the spread or dispersion of a dataset in relation to its mean value. A lower variance means the data set is close to its mean, whereas a greater variance indicates a larger …

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

    Variance is a measure of variability in statistics that assesses the average squared difference between data values and the mean.

  9. 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.

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

    Jun 17, 2025 · Variance is a measurement of dispersion across a data set, comparing the difference between every other number in the set.