If I change the power of the variance to $4$ or $6$, do the properties of the new formula remain the same as the old variance formula? If not what is the difference?
Variance formula:
$$\sigma^2=\frac{\sum(X-\mu)^2}{N}$$
If I change the power of the variance to $4$ or $6$, do the properties of the new formula remain the same as the old variance formula? If not what is the difference?
Variance formula:
$$\sigma^2=\frac{\sum(X-\mu)^2}{N}$$
The algebra would become much less nice. We would lose the very useful fact that the variance of a sum of independent random variables is the sum of the variances. With the usual definition of variance, if $X$ and $Y$ are independent random variables, then $$\operatorname{Var}(X+Y)=\operatorname{Var}(X)+\operatorname{Var}(Y).$$ Sums, and more generally linear combinations of independent random variables are used a great deal in probability theory,
And with the altered definition, variance would become less useful as a measure of variability. For if we use the power $4$ or $6$, there will be an excessive sensitivity to infrequent large deviations from the mean.