Skip to main content
12-Amethyst
June 9, 2016
Question

Error propagation - How can help?

  • June 9, 2016
  • 1 reply
  • 20097 views

Dear Friends,

I know, I might know it, but I would like to ask.

ErrorPropagation.gif

1 reply

19-Tanzanite
June 9, 2016

Variance(a*X)=a^2*Variance(X)

When you calculate the inverse the variance cannot be calculated exactly, but it's approximately Variance(1/X)=Variance(X)/mean(X)^4. The approximation is good as long as the mean is many standard deviations away from 0.

12-Amethyst
June 9, 2016

Richard, thanks. SOrry But I do not mean the Variance but the STANDARD ERROR SE, which is given and wanted.

Moreover I have found this: Could this be also the right answer, I am little confused to compare these two.

ErrorPropagation.gif

gauss1.gif

Gauss2.gif

19-Tanzanite
June 9, 2016

The variance is the square of the standard deviation. The standard errors are standard deviations.