What is Integration of Probability Density function ?
for which distribution?
\[\int \frac{e^{-\ \cfrac{(x-mu)^2}{2 \sigma^2}})}{\sqrt{2 \pi} \sigma}\]
spurious ) lol
The probability for a variable to fall within a particular region is given by the integral of this variable’s density over the region. The integral for the entire region is 1
\[\int \frac{e^{-\ \cfrac{(x-\mu)^2}{2\ \sigma^2}}}{\sqrt{2 \pi} \ \sigma}\]
@ amistre how to prive that the given integration is =1
*prove
integrate it from -inf to inf if you want to prove it :)
id have to recall what is considered the variable of integration tho
its "x" ... duh
Yes from - inf to +inf need to prive it as 1
if we adapt this to a mean of 0 and a sd of 1 we get: \[\int_{-\infty}^{\infty} \frac{e^{-\ \cfrac{(x-1)^2}{2}}}{\sqrt{2 \pi}}dx\] \[\frac{1}{\sqrt{2 \pi}}\ \int_{-\infty}^{\infty}\ e^{-\ \cfrac{(x-1)^2}{2}}dx\] oww my head hurts!!
lol .... id have to have wolfram do it
if i tried it it would turn out like it does in the books; fill tomes
id prove it, if need be; as half; from 0 to inf; or at least as the limit of that
youd still have to determine a decent way to integrate it tho
\[\frac{1}{\sqrt{2 \pi}}\ \int_{0}^{\infty}\ e^{-\ \cfrac{(x-1)^2}{2}}dx\] at least comes from: \[-A * B\ e^{-\ \cfrac{(x-1)^2}{2}}\] where A = the front stuff and B = the stuff that makes it work
if i were to derive this as is; the trick is in the exponent itself \(-\cfrac{1}{2}(x-1)^2\) derives to; \(-\cfrac{2}{2}(x-1)(1)\) to give us: \(-(x-1)\ e^{C}\); now B has top be a product or a quotient rule to apply if i see it right to try to cancel this out
if you are looking for a proof...you can write it as a double integral and switch to polar coordinates
that would most likely be easier :)
Yes I got it thnks a lot for your help really appreciate
there is no antiderivative for \[e^{-x^2}\] in terms of elementary functions...therefore writing as a double integral is the way to go.
is there one for e^(x^2) ?
no
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