Talk:Root mean square

message: there is something wrong with the last formula in this paragraph: if the n (for the freq. domain equations) is pushed below the square root, it has to become n squared [ or vice versa ...]
Herbst (talk) 21:47, 18 October 2011 (UTC)
replies: text: Good point.  I fixed. Dicklyon (talk) 15:42, 4 November 2011 (UTC)

text: Except I fixed it wrong.  Should be better now.  Dicklyon (talk) 04:40, 11 November 2011 (UTC)
thread_title:  error in formula (section "RMS in frequency domain")? 

message: It is easy enough to see, but for a beginner this article obscures the fact that the rms is just the 2-norm divided by root n (for an n-dimensional vector space), and thus is also a norm on the vector space. Add it as another section? 18.63.6.219 (talk) 14:22, 6 June 2012 (UTC)
replies: text: True, but a varying quantity is most typically not viewed as a point in an n-dimensional vector space (though a sample of it is often handled that way).  Do you have a source that talks of that relationship?  Dicklyon (talk) 01:25, 14 June 2012 (UTC)
thread_title:  Relationship to 2-norm 

message: Could anyone talk a little bit about why RMS is usually not discussed in textbooks on statistics?  --Roland 23:35, 13 June 2012 (UTC)
replies: text: Because the mean square is so much easier to use in the statistical context, and its square root is not so important.  Dicklyon (talk) 01:22, 14 June 2012 (UTC)
thread_title:  Why is RMS usually '''''not''''' discussed in textbooks on statistics? 

message: I think electrical power distribution/transmission should be mentioned for 2 reasons.
First, because rms voltage is the default way to indicate the line voltage in AC power distribution (ie 120V in the US is an rms value).
Second, the rms voltage between any 2 phases of an ideal 3-phase distribution system (ideal meaning perfect sine waves and phase separation of exactly 1/3 period) is equal to sqrt(3) * Vrms of one phase (phase-to-ground).  The most common example I've seen is the term "120/208 V",  indicating 120 Vrms phase-to-ground and 208 Vrms phase-to-phase.  This term shows up in the power requirements for commercial/medical appliances and motors.  This example is for the US.  I think it would be appropriate for this article to explain what terms like "120/208 V" mean, as the values are directly related to the root mean square.
Unfortunately I don't have sources for this info (which is why I didn't edit the article directly), however I am an electrical engineer in the power distribution field and it is common knowledge.  I think this article could benefit from this real world example of rms in action.  — Preceding unsigned comment added by 74.92.43.41 (talk) 19:51, 13 March 2014 (UTC)
thread_title:  Mention electrical power distribution 

message: It might be worthwhile to point out the common (but incorrect) usage of RMS to refer only to the fluctuating part of a signal. Examples:
* I have a "True RMS" electrical multimeter from a well regarded signal test company, which discards the DC level in calculating RMS voltage. For example the meter reads 0 V rms for a battery, when the actual voltage is 1.3 V.
* The software package Gwyddion, for analyzing scanning probe microscopy data, calculates rms after subtracting mean.
--Nanite (talk) 11:40, 3 November 2015 (UTC)
replies: text: Do you have source to say that this is common? Dicklyon (talk) 20:17, 6 November 2016 (UTC)
thread_title:  mean-subtracted RMS 

message: These are not the same thing; Mean Square is something used by Mean Square Error, in much the same way Mean Square is used by Root Mean Square.
There needs to be an article that explains what the Mean Square is.  — Preceding unsigned comment added by 130.195.253.13 (talk) 00:42, 7 November 2016 (UTC)
replies: text: Good idea from over 3 years ago.  I just stubbed in an article at Mean square.  It could use work.  The definitions of these things vary across fields, and even within statistics to some extent.  There is a lot that could be said to make this into a useful article. Dicklyon (talk) 00:32, 6 January 2020 (UTC)
thread_title:  Mean Square redirects to Mean Square Error 

message: "The generally accepted terminology for speed as compared to velocity is that the former is the scalar magnitude of the latter. Therefore, although the average speed is between zero and the RMS speed, the average velocity for a stationary gas is zero."
These statements seem to be verbosely and vaguely saying:
(1) "In physics, speed is defined as the scalar magnitude of velocity" - maybe that is useful here?
(2) "For a stationary gas, the average speed of its molecules can be in the order of thousands of km/hr, even though the average velocity of its molecules is zero".
Also, could someone explain to me (or in wikipedia) why r-m-s is so often used in physics, in preference to mean, and what the conceptual and numerical differences are.
Perhaps it is because, in physics, fundamental formulae often involve the use of squared values (such as Kinetic Energy).
JohnjPerth (talk) 02:54, 6 January 2021 (UTC)
thread_title:  root-mean-square speed 

message: "The mean of the pairwise differences does not measure the variability of the difference, and the variability as indicated by the standard deviation is around the mean instead of 0. Therefore, the RMS of the differences is a meaningful measure of the error."
These statements seem to imply that RMS of differences is a meaningful measure BECAUSE some other measures are not. This does not seem to be valid logic.
A better commentary on measures of variability might be...
"Due to the effect of negative differences, the mean of the pairwise differences does not measure the variability of the difference. I would probably omit this trite observation - many other measures could also be listed as not useful
The mean of the absolute values of the pairwise differences could be a useful measure of the variability of the differences.
However, the RMS of the differences is usually the prefered measure, probably due to mathematical convention and compatability with other formulae."
BTW: RMS seems to be always greater than or equal to the mean-of-absolute-values and is therefore often an  exagerated measure of pairwise differences. My comment on why it is preferred could be expanded.
JohnjPerth (talk) 04:32, 6 January 2021 (UTC)
replies: text: Make it so. Dicklyon (talk) 05:47, 6 January 2021 (UTC)
thread_title:  In the "error" section 

message: The media is grainy, I think is about the establishment, for fine, I study (...) "root mean square", under means and root, square, all quadratic is area-averaging, so there are means, averages, ..., square.
So, when I put in (... for generalized distributions) then to do that freely is providing the rest of what exists.
The, ..., "graininess", then, is where essentially imaging is, ..., grainy, as that it gathers, ..., for grain, as for fine.
So, this way in terms, of, "root mean, square", is usual root mean square. 75.172.96.27 (talk) 08:45, 8 September 2022 (UTC)
thread_title:  Grainy