Standard deviation about a value other than the mean












0












$begingroup$


We generally define standard deviation to be the deviation of the data points about the mean of the whole set, but why about mean? Couldn't we do it about the RMS value? Or any other value?
So I was doing some calculation, on the basis of which it seems to me that the standard deviation is a minimum about the mean.
Definition of standard deviation is ( about $x_0$)



begin{align*}
langle(x-x_0)^2rangle
&= langle x^2 - 2 x,x_0+ x_0 ^2 rangle \
&= langle x^2 rangle - langle x rangle ^2 + [ langle xrangle ^2 - 2 langle x rangle x_0+ x_0^2] \
&=(Delta x)^2 + [ langle x rangle - x_0 ]^2 .
end{align*}

So deviation is minimum about the average value!
Is this the reason we always calculate average values in statistical mechanics ?










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migrated from physics.stackexchange.com Jan 9 at 11:02


This question came from our site for active researchers, academics and students of physics.


















  • $begingroup$
    Would Cross Validated be a better home for this question?
    $endgroup$
    – Qmechanic
    Jan 6 at 19:28










  • $begingroup$
    If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
    $endgroup$
    – JEB
    Jan 6 at 19:33










  • $begingroup$
    Is what the reason we always calculate average values?
    $endgroup$
    – InertialObserver
    Jan 6 at 22:27










  • $begingroup$
    JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
    $endgroup$
    – user101134
    Jan 7 at 2:57










  • $begingroup$
    @user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
    $endgroup$
    – KV18
    Jan 7 at 9:07
















0












$begingroup$


We generally define standard deviation to be the deviation of the data points about the mean of the whole set, but why about mean? Couldn't we do it about the RMS value? Or any other value?
So I was doing some calculation, on the basis of which it seems to me that the standard deviation is a minimum about the mean.
Definition of standard deviation is ( about $x_0$)



begin{align*}
langle(x-x_0)^2rangle
&= langle x^2 - 2 x,x_0+ x_0 ^2 rangle \
&= langle x^2 rangle - langle x rangle ^2 + [ langle xrangle ^2 - 2 langle x rangle x_0+ x_0^2] \
&=(Delta x)^2 + [ langle x rangle - x_0 ]^2 .
end{align*}

So deviation is minimum about the average value!
Is this the reason we always calculate average values in statistical mechanics ?










share|cite|improve this question









$endgroup$



migrated from physics.stackexchange.com Jan 9 at 11:02


This question came from our site for active researchers, academics and students of physics.


















  • $begingroup$
    Would Cross Validated be a better home for this question?
    $endgroup$
    – Qmechanic
    Jan 6 at 19:28










  • $begingroup$
    If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
    $endgroup$
    – JEB
    Jan 6 at 19:33










  • $begingroup$
    Is what the reason we always calculate average values?
    $endgroup$
    – InertialObserver
    Jan 6 at 22:27










  • $begingroup$
    JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
    $endgroup$
    – user101134
    Jan 7 at 2:57










  • $begingroup$
    @user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
    $endgroup$
    – KV18
    Jan 7 at 9:07














0












0








0





$begingroup$


We generally define standard deviation to be the deviation of the data points about the mean of the whole set, but why about mean? Couldn't we do it about the RMS value? Or any other value?
So I was doing some calculation, on the basis of which it seems to me that the standard deviation is a minimum about the mean.
Definition of standard deviation is ( about $x_0$)



begin{align*}
langle(x-x_0)^2rangle
&= langle x^2 - 2 x,x_0+ x_0 ^2 rangle \
&= langle x^2 rangle - langle x rangle ^2 + [ langle xrangle ^2 - 2 langle x rangle x_0+ x_0^2] \
&=(Delta x)^2 + [ langle x rangle - x_0 ]^2 .
end{align*}

So deviation is minimum about the average value!
Is this the reason we always calculate average values in statistical mechanics ?










share|cite|improve this question









$endgroup$




We generally define standard deviation to be the deviation of the data points about the mean of the whole set, but why about mean? Couldn't we do it about the RMS value? Or any other value?
So I was doing some calculation, on the basis of which it seems to me that the standard deviation is a minimum about the mean.
Definition of standard deviation is ( about $x_0$)



begin{align*}
langle(x-x_0)^2rangle
&= langle x^2 - 2 x,x_0+ x_0 ^2 rangle \
&= langle x^2 rangle - langle x rangle ^2 + [ langle xrangle ^2 - 2 langle x rangle x_0+ x_0^2] \
&=(Delta x)^2 + [ langle x rangle - x_0 ]^2 .
end{align*}

So deviation is minimum about the average value!
Is this the reason we always calculate average values in statistical mechanics ?







statistics






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Jan 6 at 19:09









user101134user101134

62




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migrated from physics.stackexchange.com Jan 9 at 11:02


This question came from our site for active researchers, academics and students of physics.









migrated from physics.stackexchange.com Jan 9 at 11:02


This question came from our site for active researchers, academics and students of physics.














  • $begingroup$
    Would Cross Validated be a better home for this question?
    $endgroup$
    – Qmechanic
    Jan 6 at 19:28










  • $begingroup$
    If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
    $endgroup$
    – JEB
    Jan 6 at 19:33










  • $begingroup$
    Is what the reason we always calculate average values?
    $endgroup$
    – InertialObserver
    Jan 6 at 22:27










  • $begingroup$
    JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
    $endgroup$
    – user101134
    Jan 7 at 2:57










  • $begingroup$
    @user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
    $endgroup$
    – KV18
    Jan 7 at 9:07


















  • $begingroup$
    Would Cross Validated be a better home for this question?
    $endgroup$
    – Qmechanic
    Jan 6 at 19:28










  • $begingroup$
    If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
    $endgroup$
    – JEB
    Jan 6 at 19:33










  • $begingroup$
    Is what the reason we always calculate average values?
    $endgroup$
    – InertialObserver
    Jan 6 at 22:27










  • $begingroup$
    JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
    $endgroup$
    – user101134
    Jan 7 at 2:57










  • $begingroup$
    @user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
    $endgroup$
    – KV18
    Jan 7 at 9:07
















$begingroup$
Would Cross Validated be a better home for this question?
$endgroup$
– Qmechanic
Jan 6 at 19:28




$begingroup$
Would Cross Validated be a better home for this question?
$endgroup$
– Qmechanic
Jan 6 at 19:28












$begingroup$
If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
$endgroup$
– JEB
Jan 6 at 19:33




$begingroup$
If it weren't about the mean, it wouldn't be a "deviation". If it were w.r.t to $0$, it would be the 2nd raw moment. There really is no other reason to pick another center other than those two.
$endgroup$
– JEB
Jan 6 at 19:33












$begingroup$
Is what the reason we always calculate average values?
$endgroup$
– InertialObserver
Jan 6 at 22:27




$begingroup$
Is what the reason we always calculate average values?
$endgroup$
– InertialObserver
Jan 6 at 22:27












$begingroup$
JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
$endgroup$
– user101134
Jan 7 at 2:57




$begingroup$
JEB 7 , we know that standard deviation is about average value, but from the. Definition I can say that if I change x average by any other value it would simply mean the deviation about that perticular value.
$endgroup$
– user101134
Jan 7 at 2:57












$begingroup$
@user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
$endgroup$
– KV18
Jan 7 at 9:07




$begingroup$
@user101134 if you were doing probability distribution functions, you would soon come to realise that taking deviations with respect to the mean makes more sense. Because the density functions peak over the mean (for example in Gaussian, or the Poisson).
$endgroup$
– KV18
Jan 7 at 9:07










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