Talk:Percentile

message: The definition given for the percentile is "the value below which a given percentage of observations in a group of observations fall", yet in all of the worked examples, the 100th percentile is assumed to be the largest element in the set. despite at least one of the observations not falling below that value. This inconsistency is not up to the standards of the rest of wikipedia mathematics entries.   — Preceding unsigned comment added by 2601:1C1:C100:453C:E5FE:36B9:4D03:5E07 (talk) 21:06, 6 September 2017 (UTC)
thread_title: Clear inconsistencies in definition

message: I changed the formula for weighted median as I believe it was incorrect. The individual weight of the sample should not be a factor in its percentile. I believe it should be 100/S_N(S_n - 1/2) not 100/S_N(S_n - w_n/2)  — Preceding unsigned comment added by Howeman (talk • contribs) 02:08, 23 August 2013 (UTC)
thread_title: Weighted Median

message: This page is currently slated to be merged with "Quantile", but I  really think "Percentile" deserves its own page. The concept is important enough that I wanted to look it up, anyway. --Unregistered Wikipedia-reader, 20 Nov 2004
What is the purpose of the note about Persian translation? --Eve Teschlemacher 19:53, 24 February 2007 (UTC)
thread_title: Random chatter

message: Not only should the Percentile and Percentile rank articles be "harmonized", we've got to be careful not to mix up the two concepts in the same article! For example, before I changed it just now the article said:
: "A percentile (or centile) is the value of a variable below which a certain percent of observations fall."
then later, in the "linear interpolation" section:
: "we define the percentile corresponding to the n-th value as p_n=\frac{100}{N}(n-\frac{1}{2}). In this way, for example, if N = 5 the percentile corresponding to the third value is... 50."
No, no, no. That's the percent rank, not the percentile. For example: Given the numbers 15, 20, 35, 40, and 50, the percent rank of 20 is 30 (by the above formula), and so the 30th percentile is 20 (i.e., the "percentile" is not 30). - dcljr (talk) 04:51, 12 January 2011 (UTC)
thread_title:  Confusion 

message: Hello, how is 97.72th percentile be pronounced? ninety-seventh point seven two percentile or ninety-seven point seven twoth percentile --Diwas (talk) 11:10, 9 June 2011 (UTC)
thread_title:  pronounce 

message: It would limit confusion among other Wikipedia users if both of these articles where merged. They both talk of the exact same concept. --Ctyonahl (talk) 20:43, 20 December 2011 (UTC)
thread_title:  Yes, it should be merged 

message: Percentile and quantile are as different as percentages and fractions.  Unless you propose to merge percentage with fractions, these should also remain separate.  
Quantile should include a short blurb about percentile, and should link to the percentile article.  Percentile should mention quantile in the intro and provide a link (currently where quartiles are mentioned).  That makes it easy enough to understand, and falls in line with most other sections of the wiki.
(Percentiles are used in much the same way that percentages are... and quantiles are often used in much the same way that small fractions are.  While there is insubstantial mathematical separation between the two, there is definitely a usage difference.  There is value to making math articles a little more approachable to the lay person, and keeping them separate will help.)
Gd2shoe (talk) 23:14, 17 May 2013 (UTC)
replies: text: Not merged, at least not until a proper merge discussion is initiated. --jjron (talk) 15:08, 20 June 2013 (UTC)
thread_title:  No, they should not be merged 

message: Recent versions of Excel (e.g. 2013) support both methods of estimating percentiles described, without breaking compatibility.  By deprecating the PERCENTILE() function and adding two new functions PERCENTILE.EXC() and PERCENTILE.INC(), Excel provides for explicit selection between two methods described. PERCENTILE.EXC is equivalent to the first approach described in the NIST report, PERCENTILE and PERCENTILE.INC are equivalent to the second method.   
It should be noted that for common textbook cases (e.g. the 50th percentile of a list with an odd number of entries) the two estimation methods generate the same exact solution.   The differences between estimation methods shouldn't be overemphasized, they are simply different ways of estimating a parameter from a sample. Burt Harris 15:31, 15 May 2014 (UTC)
thread_title:  Estimation methods, NIST & Excel 

message: Langford article cited in references of the current article discussess more than 14 possible definitions and shows that the CDF method is the ONLY one with certain key properties: For instance, DOUBLING the data leaves it unchanged. Many other properties that are intuitive also holds for CDF and not for others. Furthermore, CDF is NATURAL definition from statistical point of view.
My view is that this article can be RE-WRITTEN DRASTICALLY to eliminate confusion. FIRST it should give PROMINENCE to the CDF definition, SECOND it should display all other definitions as ERRORS. I would like to DISCUSS this with relevant people, to explain further why this is the case (it is already explained fairly well in Langford, but there are more arguments available.).
But I dont know enough about Wikipedia to know how this is to be done --
Asaduzaman (talk) 02:30, 4 October 2016 (UTC)
replies: text: The article should reflect what is written in reputable and reliable published sources. While there is inconsistency among sources, this should be reflected and explained in the article. Maproom (talk) 08:03, 22 October 2016 (UTC)
thread_title:  Radical Re-Write Suggestion 

message: seems Kennzahl is the german term and used in abbreviated form as k in some papers. Can anyone who knows the etymology add this. e.g. here DOI 10.1111/1469-7610.00023  — Preceding unsigned comment added by 212.95.7.80 (talk) 22:46, 7 February 2017 (UTC)
thread_title:  k as abbreviation  

message: https://de.wikipedia.org/wiki/Empirisches_Quantil#Perzentile seems to match.
Though I am not sure.
Side Note: As a software developer, I still could not figure out how to edit the links to other languages. Wiki told me the link was already in use, so I guess i tried to create a reference when i only wanted to use an existing link, whose ID I did not find out.
134.93.113.63 (talk) 14:11, 30 October 2018 (UTC)
replies: text: . This is done with Wikidata (see ). For this situation, two Wikidata entities needed to be merged. +mt 20:43, 31 October 2018 (UTC)
thread_title:  could someone link the german page version 

message: Either the text summary is wrong or the image is wrong.
should be
5 2
4 2
3 3
2 1
instead of
5 2
4 3
3 2
2 1
This image https://commons.wikimedia.org/wiki/File:PercentileRankFor10Scores.png is correct which is used in https://en.wikipedia.org/wiki/Percentile_rank
: I checked the calculations and the graph was correct, so I have corrected the frequency data in the png file --Nerlost (talk) 10:47, 12 November 2021 (UTC)
thread_title:  https://commons.wikimedia.org/wiki/File:Frequency_histogram_and_exclusive_and_inclusive_percentiles_2.png 

message: The sample percentiles are reported to be biased, could someone please add this? See https://www.sciencedirect.com/science/article/abs/pii/S016771520000242X and https://stats.stackexchange.com/questions/76259/demonstration-of-sample-quantile-bias Biggerj1 (talk) 09:47, 6 November 2021 (UTC)
thread_title:  Bias