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

2021-08-20 Thread Irit Katriel


Change by Irit Katriel :


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resolution:  -> duplicate
stage:  -> resolved
status: open -> closed
superseder:  -> clarify meaning of xbar and mu in pvariance/variance of 
statistics module

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

2019-02-24 Thread Cheryl Sabella


Cheryl Sabella  added the comment:

Great!  Thank you, Steven.

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

2019-02-24 Thread Steven D'Aprano


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.

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assignee: docs@python -> cheryl.sabella
nosy: +cheryl.sabella

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

2019-02-23 Thread Raymond Hettinger


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.

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nosy: +rhettinger

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

2019-02-23 Thread Davin Potts


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:
it should be the *sample* mean of data

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nosy: +davin

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

2019-02-23 Thread Steven D'Aprano

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 you could average every individual. xbar or x̅  is the 
mean of a sample.

--
assignee: docs@python
components: Documentation
messages: 336424
nosy: docs@python, steven.daprano
priority: normal
severity: normal
status: open
title: Clarify the difference between mu and xbar in the statistics 
documentation
type: behavior
versions: Python 3.8

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