[issue36099] Clarify the difference between mu and xbar in the statistics documentation

Change by Irit Katriel : -- resolution: -> duplicate stage: -> resolved status: open -> closed superseder: -> clarify meaning of xbar and mu in pvariance/variance of statistics module ___ Python tracker

[issue36099] Clarify the difference between mu and xbar in the statistics documentation

Cheryl Sabella added the comment: Great! Thank you, Steven. -- ___ Python tracker ___ ___ Python-bugs-list mailing list

[issue36099] Clarify the difference between mu and xbar in the statistics documentation

Steven D'Aprano added the comment: I'm happy with that doc change. If nobody objects, this might make an easy "Good first issue" for the upcoming sprint. Assigning to Cheryl to stop anyone else grabbing it. -- assignee: docs@python -> cheryl.sabella nosy: +cheryl.sabella

[issue36099] Clarify the difference between mu and xbar in the statistics documentation

Raymond Hettinger added the comment: > Without necessarily defining what each means, > perhaps it is sufficient to change this clause in the docs +1 That is a simple way to address the concern. -- nosy: +rhettinger ___ Python tracker

[issue36099] Clarify the difference between mu and xbar in the statistics documentation

Davin Potts added the comment: Without necessarily defining what each means, perhaps it is sufficient to change this clause in the docs: it should be the mean of data For pvariance() it could read as: it should be the *population* mean of data And for variance() it could read as:

[issue36099] Clarify the difference between mu and xbar in the statistics documentation

New submission from Steven D'Aprano : The documentation isn't clear as to the difference between mu and xbar, and why one is used in variance and the other in pvariance. See #36018 for discussion. For the record: mu or μ is the population parameter, i.e. the mean of the entire population, if