Propagation of Uncertainty in non-load voltage

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The discussion focuses on propagating uncertainty in the formula Es = Ex × (x + xo) / (xs + xo) related to a circuit using the potentiometer method. The original poster understands basic uncertainty propagation but struggles with the specific formula. Participants inquire about the assumptions regarding the distributions of the variables involved, emphasizing the need to clarify whether any variables are constant or non-random. The poster confirms that all variables are positive and none are constant, but feels that this detail is unnecessary. The conversation highlights the importance of understanding variable distributions for accurate uncertainty propagation.
beny748
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Need help propagating the uncertainty of Es = Ex ×(x+xo/xs+xo) . I understand all of the rules and can do it for a formula such as vo+ at. But I am having trouble with the (A+B)(/A+C).
 
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Hey beny748 and welcome to the forums.

What are the assumptions for the distributions of your variables? Are any constant (i.e. non-random)?
 
Thanks Chiro!

All are positive and none are constant. The problem involves a circuit, in particular the potentiometer method. I felt it was unnecessary information.
 
Also.. I apologize, it looks like I placed this in the wrong thread.
 
What distribution do they have?
 

Thread 'Hypothesis testing: Defining H0, HA hypotheses so that ( H_A)_A' makes sense'

The standard _A " operator" maps a Null Hypothesis Ho into a decision set { Do not reject:=1 and reject :=0}. In this sense ( HA)_A , makes no sense. Since H0, HA aren't exhaustive, can we find an alternative operator, _A' , so that ( H_A)_A' makes sense? Isn't Pearson Neyman related to this? Hope I'm making sense. Edit: I was motivated by a superficial similarity of the idea with double transposition of matrices M, with ## (M^{T})^{T}=M##, and just wanted to see if it made sense to talk...
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