The sample variance for x1, x2,…, xn is the sum of the squares of differences with the mean, divided by n - 1.
To compute variance
Statistics + Variance
5, 1, 89, 4, 29, 47, 18, Variance(s): 1002.6
, Variance(s): 46.563
, Variance(s):
86.333, 146.33, 129.33
, Variance(s):
.5a - .5c
+
.5c - .5a
,
.5b - .5d
+
.5d - .5b
The square root of the variance is called the standard deviation. It is the most commonly used measure of dispersion.
Statistics + Standard Deviation
5, 1, 89, 4, 29, 47, 18
, Standard deviation(s): 31.664
, Standard deviation(s): 6.8237
, Standard deviation(s):
.70711
,.70711
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Note that the preceding matrix was treated as a labeled matrix, and the first row was ignored.
Statistics + Standard Deviation
, Standard deviation(s):
9.2916, 12.097, 11.372
, Standard deviation(s):
7.0014, 1.23, 7.1456