The standard deviation goes something like the variance.
- Statistical simulation of the standard deviation with R-Project
> x <- c(rep(47,1),rep(48,3),rep(49,2),rep(50,8),rep(51,3),rep(52,2)
,rep(53,1));
> ni<- table(x);
> n<-sum(ni)
> sqrt((n-1)/n)*sd(x)
[1] 1.465435
- Statistical simulation of the standard deviation with Mathematica
x := Join[ConstantArray[47, 1], ConstantArray[48, 3],
ConstantArray[49, 2], ConstantArray[50, 8], ConstantArray[51, 3],
ConstantArray[52, 2], ConstantArray[53, 1]];
ni := Tally [x];
n := Sum[ni[[i, 2]], {i, Length[ni]}];
N[StandardDeviation[x] Sqrt[(n - 1)/n]]
1.4654350889752845`
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