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Ashley Hughes
on Nov 24, 2024

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In the analysis of variance, the sum of all samples' sums of squared deviations of individual observations from their sample mean equals the error mean square.

Error Mean Square

A measure used in statistics to quantify the average of squares of errors or deviations.

Sums of Squared Deviations

The total of the squared differences between each observation in a data set and the mean of that data set, used in various statistical methods to measure variability.

Sample Mean

The average value calculated from a subset (sample) of a population.

  • Learn about the aspects of sum of squares, mean square, and F statistic critical to ANOVA.
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Peter Carlo BulataoNov 26, 2024
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