Introduction to descriptive statistics
Mathematics Learning Centre, University of Sydney 7 We can now take the mean of these squared deviations. This is called the variance. Variance = 1+49+64+25+16+9 6 =27.33. The variance is a very useful measure of dispersion for statistical inference, but for our purposes it has a major disadvantage. Because we squared the deviations, we now have
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