Need help simplifying standard error formula for redshift

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SUMMARY

The discussion focuses on simplifying the standard error formula for redshift (z) in the context of statistical analysis. Key variables include SE (standard error), sigma(x) (standard deviation), n (number of observations), and N (total population). The participants clarify the substitution of x with z and address the introduction of a square root in the equation. The final expression resembles a textbook formula for standard deviation, noting that the choice of biased versus unbiased formula depends on the size of N.

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  • Knowledge of population parameters and sample sizes
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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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