Assertion: central moment | /r/HasProperty | the variance
Facets:
Source sentences:
text: If the function is a probability distribution, then the zeroth moment is the total probability (i.e. one), the first moment is the expected value, the second central moment is the variance, the third standardized moment is the skewness, and the fourth standardized moment is the kurtosis.
text: The second central moment μ 2 is called the variance, and is usually denoted σ 2 , where σ represents the standard deviation.
text: The second central moment is the variance.