Central moments are the moments about :
(A) origin
(B) mean
(C) any value
(D) 10
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For random variables that have no mean, such as the Cauchy distribution, central moments are not defined. The first few central moments have intuitive interpretations: ... The third and fourth central moments are used to define the standardized momentswhich are used to define skewness and kurtosis, respectively.
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In probability theory and statistics, a central moment is a moment of a probability distribution of a random variable about the random variable's mean; that is, it is a expected value of a specified integer power of the deviation of the random variable from the mean.
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