help with stats. :o
\[\sigma^2= \overline{x^2}-\overline{x}^2\]
the over bar means take the mean (or average) . the variance is the mean of the squares minus the square of the mean
ive never had much practice with this version, but the google gives me \[\frac{n(\sum x^2)-(\sum x)^2}{n(n-1)}\]
http://www.saddleback.edu/faculty/pquigley/math10/shortcut.pdf ive always used the:\[\frac{\sum (x-\bar x)^2}{n-1}\] but they dont really give that information in this question
using n rather than n-1 (difference between sample stats and population stats) \[ \frac{\sum (x-\bar x)^2}{n}= \frac{\sum{x^2}}{n}-2 \bar x \frac{\sum{x}}{n}+\frac{\sum{(\bar x)^2}}{n}\] the first term is \( \bar {x^2} \) noting that the square of the mean is constant, that last term is \[ (\bar x)^2 \cdot \frac{n}{n} \] and the expression simplifies to \[ \overline{x^2} - \overline{x}^2 \]
and the middle term is \( -2 \overline{x}^2 \)
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