What is wrong with my root mean square average?

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I've been working on this code that calculates the room mean square average. Something seems to be wrong with my loop structure, can anyone help find my mistake? thanks!

def rms():
    print("This program will calculate the RMS of your values.")
    print()
    n = int(input("Please enter the number of values you want 
    calculated: "))
    total = 0.0
for i in range(n):
    x = float(input("Enter a desired values:"))
    total = total + math.sqrt(x)



print("\nThe Root Mean Square is:", math.sqrt(total/n))

You made an wrong which is in there total = total + math.sqrt(x) the wrong is that you should find the squared x Not square root of x so try my fixed code:-

def rms():
    print("This program will calculate the RMS of your values.\n")
    n = int(input("Please enter the number of values you want calculated: "))
    total = 0.0
    for i in range(n):
        x = float(input("Enter a desired values:"))
        total += x ** 2 #it means x powered by two

    print("\nThe Root Mean Square is:", math.sqrt(total/n))

What's the acceptable value of Root Mean Square Error (RMSE , gives you the equivalent DC voltage for the same power. If you would measure the resistor's temperature as a measure of dissipated energy you'll see that it's the same as for a DC voltage of 0.71 V, not 0.64 V. THE ROOT-MEAN-SQUARE. The root-mean-square (RMS) is not a statistic you hear to much about, because it is mostly used as a part of other statistics, such as the standard deviation, which are much more famous. The root mean square is a measure of the magnitude of a set of numbers.

Nevermind I see you wanted this all in rms() from reading I believe you wanted everything in rms() be careful with your indentations so parts of your function do not fall outside of the funciton, this works though, not sure your desired output though.

import math

def rms():
    print("This program will calculate the RMS of your values.")
    print()
    n = int(input("Please enter the number of values you want calculated: "))
    total = 0.0 
    for i in range(n):
        x = float(input("Enter a desired values:"))
        total = total + math.sqrt(x)
    print("\nThe Root Mean Square is:", math.sqrt(total/n))

rms()
(xenial)vash@localhost:~/python/stack_overflow$ python3.7 rms.py 
This program will calculate the RMS of your values.

Please enter the number of values you want calculated: 3
Enter a desired values:10
Enter a desired values:3
Enter a desired values:2

The Root Mean Square is: 1.4501197686295146

Why V rms instead of V average?, by knowing what is expected from your DV in your field of research. RMS ('Root Mean Square') voltage is a complicated-sounding engineering measure of the average voltage level of electrical signals. Because the RMS meter measures 'average' levels, a sustained sound reads much higher than a brief percussive one, even when both sounds have the same maximum voltage level: the reading is dependent on both the amplitude and the duration of peaks in the signal.

If I infer correctly then you want to take each input, square it, average the sum and square root that sum. Remember that when averaging (finding mean), only divide by the sum at the end:

def rms():
    total = 0.0
    count = 0
    while True:
        x = input('enter value (enter nothing to stop):')
        if x.strip() == '':
            break
        count += 1
        total += float(x) ** 2

    print('mean square root is:', math.sqrt(total/count))
    # return math.sqrt(total / count)

What are good RMSE values?, Note that is also necessary to get a measure of the spread of the y values around that average. To do this, we use the root-mean-square error (r.m.s. error). To  RMS - root mean square (négyzetes átlag). Take the mean of a sorozat of numbers, let's say: 13, 63, -41, 73, 26, 82, -37, 50, 23, 68. So the root of this is: sum of the numbers divided by the number of numbers --> 398/10=39.8. This is the average of the numbers.

RMS Error, RMSD is the square root of the average of squared errors. The effect of each error on RMSD is proportional to the size of the squared error; thus larger errors have  Ra is calculated as the Roughness Average of a surfaces measured microscopic peaks and valleys. RMS is calculated as the Root Mean Square of a surfaces measured microscopic peaks and valleys. Each value uses the same individual height measurements of the surfaces peaks and valleys, but uses the measurements in a different formula.

Root-mean-square deviation, The root-mean-square (RMS) is not a statistic you hear to much about, because We could compute the average, but this doesn't tell us much  Thus the RMS error is measured on the same scale, with the same units as .. The term is always between 0 and 1, since r is between -1 and 1. It tells us how much

The Root Mean Square, I actually wasn't sure about this either so I tested it out with a short example: ## Create simple function to calcualte the error rmse  I’m pretty sure root mean squared is when you square every value in a set of values, then take the average, then take the square root of that. I think the purpose of doing that as opposed to just taking a straight average is to diminish the effect of extreme outlier values.

Comments
  • Something seems to be wrong. The wrong thing is indentation. Please fix it first.
  • It looks like you're dividing the current total by n every loop, are you sure that's what you want? Try writing down the mathematical/logical steps you want to do. If you find you divide by n only at the end, then you should amend your code to reflect that.
  • Hint: the mathematical operation is called root-mean-square, not root-mean-square-root...
  • sum all squares of x (x*x) - after all are summed divide by N and it draw its root - iirc
  • Are you sure you fixed the indentation?
  • No need to thank it's my pleasure.