how to find the variance and standard deviation of a discrete random variable
Let X be a discrete random variable, such that
"P(X=x_1)=p_1"
"P(X=x_2)=p_2"
...
"P(X=x_n)=p_n"
Then its variance can be found as "V(X)=E(X^2)-E^2(X)" , where E(X), E("X^2") - first and second central moment respectively, so
"E(X)=\\displaystyle\\sum_{i=1}^np_i*x_i"
"E(X^2 )=\\displaystyle\\sum_{i=1}^np_i*x^2_i"
Discrete random variable can take infinite(countable) amount of values, in that case sum will be from 1 to infinity, and the point is to find the sum of the infinite row
Standard deviation can be found as a square root of the variance, so
"\\sigma(X)=\\sqrt{V(X)}"
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