Need help simplifying standard error formula for redshift

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Discussion Overview

The discussion revolves around simplifying the standard error formula specifically for redshift calculations. Participants are examining the mathematical expressions involved and seeking clarity on the derivation and simplification process.

Discussion Character

  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant defines the components of the standard error formula, substituting redshift (z) for the variable (x) and expressing the standard error in terms of z (sigma(z)).
  • Another participant questions the introduction of a square root in the substitution process, seeking clarification on its necessity.
  • A later reply acknowledges a correction regarding a small mistake in the earlier post, indicating an ongoing refinement of the mathematical expressions.
  • One participant notes that the remaining expression resembles a standard deviation formula but points out the use of a biased formula, suggesting that the relevance of this choice may depend on the size of the total population (N).

Areas of Agreement / Disagreement

Participants do not reach a consensus on the simplification process, and there are competing views regarding the appropriateness of the biased formula for standard deviation in this context.

Contextual Notes

The discussion includes unresolved questions about the mathematical steps involved in the simplification and the implications of using a biased versus unbiased formula for standard deviation.

Rageuke
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TL;DR
Filled in all the equations for standard error in redshift (standard error formula, standard deviation formula, mean formula), would like to simplify it, too complicated otherwise thanks in advance :)
Schermafbeelding 2024-04-27 123159.png

SE = standard error, expressed as sigma(x)
n = number of observations we take into account (from a total population) when calculating the standard error
sigma-index-x = standard deviation
N = total population
x-index-i = element of that population
mu = mean of the population
-> filled in all the equations and replaced x by z (redshift) to determine the standard error in z (sigma(z))
-> as you can see, last equation is way too complicated, can anyone help me simplify it?
PS. In the finale expression, x-index-i should be substituted with z-index-i
 
Last edited:
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Where you substituted your third expression into your second, why did you introduce a square root?
 
Small mistake of mine, I corrected it, thank you for your sharp eye!
 
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Right. And what's left is a textbook formula for standard deviation, although you are using the biased formula. Whether that matters or not depends on the size of your ##N##.
 
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