Meauring deviation of something using some party randomized variables

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Discussion Overview

The discussion revolves around measuring the deviation of one dataset from another, specifically focusing on two identical y=1/x curves with different amplitudes, one of which includes noise. Participants explore the challenges of defining the master dataset and distinguishing between actual data and noise.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested

Main Points Raised

  • One participant seeks to find the deviation between an x-y dataset and a master dataset, which is described as two identical curves with different amplitudes and noise.
  • The participant notes the difficulty in defining the master dataset due to the presence of white noise, which complicates the identification of when a match is perfect.
  • Another participant suggests that the original poster might receive better responses by posting in the statistics section of the forum.
  • A further reply emphasizes the need for clarity in the objective of measuring deviation, distinguishing between hypothesis testing and estimation in statistical procedures.

Areas of Agreement / Disagreement

There is no clear consensus among participants regarding the best approach to measure deviation, and multiple perspectives on the objectives and methods remain present.

Contextual Notes

Participants have not fully defined the parameters of the master dataset or the specific statistical methods to be employed, leaving some assumptions and steps unresolved.

clemon!!
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hi,

i want to take an x-y data set and find the deviation from another dataset.

the master dataset is two identical y=1/x curves of different amplitude; also one only registers at periodic intervals and the second is multiplied by a noise signal.


so part of the problem is going to be that the actual master dataset is inexactly defined as the noise signal itself [i used white noise between 1 and 0] is noise - i.e. i need to be able to say when something is just noise - in which case the match is prefect...


make sense? can anyone start me off with this [i still need to find the perfect master dataset actually...]. thanks :) !
 
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You would probably get better answers if you posted this in the statistics section. You can ask one of the mods to move it for you.
 
trying... :)
 
clemon! said:
hi,

i want to take an x-y data set and find the deviation from another dataset.

You should start by getting your objective clear. "Find the deviation" doesn't define a precise goal. If you want to use statiistical procedures, these fall into two broad categories. There is Hypothesis Testing, which usually considers a yes-or-no type question such as "Are these two data sets measurements of the same underlying phenomenon?" or "Are the mean values of these two distributions identical?". There is Estimation, which considers questions like "What is the mean value of the distribution?" or "What is the numerical difference in the mean values of these two distributions?".
 

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