now to find the variance, we rewrite x^2 as x(x-1) +x before we start out
for explanation of mean of poisson distribution try the link mean of poisson distribution
for explanation of mean and variance of discrete uniform distribution try the link mean of the discrete uniform distribution
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ReplyDeletethanx man .... d derivation n my book ended in just 2 lines !!!
ReplyDeletethanx man .... d derivation n my book ended in just 2 lines !!!
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ReplyDeleteDeviation from mean x-μ
ReplyDeleteSquare deviation from mean Sum of the squares of deviation from mean=∑▒〖(x-μ)〗^2
The mean sum of the squares of deviation from the mean (μ) is=1/n ∑▒〖(x-μ)〗^2
The root mean square deviation is = sqrt(1/n ∑▒〖(x-μ)〗^2 )
The standard deviation is nothing but the root mean square deviation .