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See also: Standard deviation, Probability parameters introduction
The variance is a measure of how much the probability distribution is spread from the mean:
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where
denotes
the expected value (mean) of whatever is in
the brackets, so:
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The variance sums up the squared distance from the mean of all possible values of x, weighted by the probability of x occurring. The variance is known as the second moment about the mean. It has units that are the square of the units of x. So, if x is cows in a random field, V has units of cows2. This limits the intuitive value of the variance.
Variance and standard deviation have the following properties, where a is some constant and X, Xi are random variables:
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providing the Xis are uncorrelated. |
Read on: Standard deviation