The sum of the squared difference of each data point and the mean of all data points is larger than a similar sum using any value other than the mean. True or false (and why)
Added by Nathan M.
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The variance of a dataset is defined as the average of the squared differences between each data point and the mean of the dataset. Mathematically, it is expressed as: \[ \text{Variance} = \frac{1}{n} \sum_{i=1}^{n} (x_i - \bar{x})^2 \] where \( x_i \) are the Show more…
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