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in a simplified form

what do you mean?

\(x \times x\) I think that's what you mean.

yeah

mathematical form?

'Mathematical form' is still ambiguous.

some stats people know may know

\[\langle x^2\rangle =\sum\limits_{j=0}^\infty x^2 P(j)\]

lol

\[\int 2xdx\]

\[\frac{d}{dx} (\frac{x^3}{3})\]

what are you doing at @lgbasallote ,

\[x^2 = r^2 - y^2\]

trying to get all that's x^2 and see if anythign suits him

im pretty sure i have provided the answer to the question

we all think that...

,oh

i need E(x^2)=?

the expectiation value of \(x\) \[\langle x\rangle =E(x)\]

@UnkleRhaukus yes but x^2

\[Var(x)=E(x^2)-(E(x))^2\]

i got the ans... thanks all

\[\sigma_x=\langle x^2\rangle-\langle x\rangle ^2\]

:D

ya ur right

yes for a discrete random variable

im not sure why i put j instead of x,

oh, you want a continuous function?

no i know

thank you

\[\langle f(x)\rangle=\int\limits_{-\infty}^\infty f(x)\rho(x)\text dx\]

ya

where \(\rho(x)\) is the probability density

so
\[\langle x^2\rangle=\int\limits_{-\infty}^\infty x^2\rho(x)\text dx\]

@UnkleRhaukus small question the E(constant) is a constant right

if the distribution of the variable \(x\) is constant , yes

thanks