方差分析

zh

WikiRank.net
ver. 1.6

方差分析

Quality:

Analysis of variance - collection of statistical models used to analyze the differences between group means and their associated procedures. Article "方差分析" in Chinese Wikipedia has 37.1 points for quality (as of July 1, 2025). The article contains 0 references and 17 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that language version.

Achievements in all the time:
Chinese Wikipedia:
The 6767th most popular in Chinese Wikipedia.
Global Wikipedia:
The 9072nd most popular in all topics.

Since the creation of article "方差分析", its content was written by 27 registered users of Chinese Wikipedia and edited by 1251 registered Wikipedia users in all languages.

The article is cited 261 times in Chinese Wikipedia and cited 3434 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Chinese): #5636 in September 2015
  • Global: #104 in March 2001

The highest popularity rank from 2008:

  • Local (Chinese): #2459 in April 2015
  • Global: #3040 in June 2011

There are 38 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Analysis of variance
82.2754
2Norwegian (Nynorsk) (nn)
Variansanalyse
50.9859
3Turkish (tr)
Varyans analizi
44.8941
4Tamil (ta)
மாறும் அளவுப் பகுப்பாய்வு
42.0862
5German (de)
Varianzanalyse
39.2229
6Chinese (zh)
方差分析
37.0816
7Hindi (hi)
भिन्नता का विश्लेषण
37.0571
8Estonian (et)
Dispersioonanalüüs
35.238
9French (fr)
Analyse de la variance
30.951
10Norwegian (no)
Variansanalyse
28.1095
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "方差分析" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Analysis of variance
15 555 463
2German (de)
Varianzanalyse
2 510 716
3Spanish (es)
Análisis de la varianza
2 276 675
4French (fr)
Analyse de la variance
1 463 981
5Chinese (zh)
方差分析
1 219 719
6Japanese (ja)
分散分析
998 987
7Italian (it)
Analisi della varianza
825 444
8Russian (ru)
Дисперсионный анализ
565 006
9Dutch (nl)
Variantieanalyse
461 766
10Portuguese (pt)
Análise de variância
390 254
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "方差分析" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Analysis of variance
18 755
2French (fr)
Analyse de la variance
2 196
3Chinese (zh)
方差分析
2 090
4Spanish (es)
Análisis de la varianza
2 079
5German (de)
Varianzanalyse
1 999
6Italian (it)
Analisi della varianza
1 477
7Russian (ru)
Дисперсионный анализ
1 319
8Polish (pl)
Analiza wariancji
954
9Japanese (ja)
分散分析
933
10Portuguese (pt)
Análise de variância
647
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "方差分析" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Analysis of variance
357
2German (de)
Varianzanalyse
146
3French (fr)
Analyse de la variance
135
4Italian (it)
Analisi della varianza
83
5Spanish (es)
Análisis de la varianza
52
6Dutch (nl)
Variantieanalyse
48
7Turkish (tr)
Varyans analizi
36
8Hungarian (hu)
Varianciaanalízis
30
9Japanese (ja)
分散分析
29
10Chinese (zh)
方差分析
27
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "方差分析" with the highest AI in June 2025
#LanguageAI awardRelative AI
1French (fr)
Analyse de la variance
3
2Indonesian (id)
Analisis varians
1
3Korean (ko)
분산 분석
1
4Romanian (ro)
Analiza varianței
1
5Arabic (ar)
تحليل التباين
0
6Azerbaijani (az)
Dispersiya analizi
0
7Bulgarian (bg)
Дисперсионен анализ
0
8Catalan (ca)
Anàlisi de la variància
0
9Czech (cs)
Analýza rozptylu
0
10German (de)
Varianzanalyse
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "方差分析" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Analysis of variance
922
2Persian (fa)
تحلیل واریانس
359
3Japanese (ja)
分散分析
297
4Chinese (zh)
方差分析
261
5Ukrainian (uk)
Дисперсійний аналіз
241
6Korean (ko)
분산 분석
172
7Portuguese (pt)
Análise de variância
142
8French (fr)
Analyse de la variance
138
9Turkish (tr)
Varyans analizi
134
10Arabic (ar)
تحليل التباين
110
More...

Scores

Estimated value for Wikipedia:
Chinese:
Global:
Popularity in June 2025:
Chinese:
Global:
Popularity in all years:
Chinese:
Global:
Authors in June 2025:
Chinese:
Global:
Registered authors in all years:
Chinese:
Global:
Citations:
Chinese:
Global:

Quality measures

Interwikis

#LanguageValue
arArabic
تحليل التباين
azAzerbaijani
Dispersiya analizi
bgBulgarian
Дисперсионен анализ
caCatalan
Anàlisi de la variància
csCzech
Analýza rozptylu
deGerman
Varianzanalyse
elGreek
Ανάλυση διακύμανσης
enEnglish
Analysis of variance
esSpanish
Análisis de la varianza
etEstonian
Dispersioonanalüüs
euBasque
Bariantza-analisi
faPersian
تحلیل واریانس
fiFinnish
Varianssianalyysi
frFrench
Analyse de la variance
glGalician
Análise da varianza
heHebrew
ניתוח שונות
hiHindi
भिन्नता का विश्लेषण
huHungarian
Varianciaanalízis
hyArmenian
Դիսպերս վերլուծություն
idIndonesian
Analisis varians
itItalian
Analisi della varianza
jaJapanese
分散分析
koKorean
분산 분석
msMalay
Analisis varians
nlDutch
Variantieanalyse
nnNorwegian (Nynorsk)
Variansanalyse
noNorwegian
Variansanalyse
plPolish
Analiza wariancji
ptPortuguese
Análise de variância
roRomanian
Analiza varianței
ruRussian
Дисперсионный анализ
slSlovenian
Analiza variance
svSwedish
Variansanalys
taTamil
மாறும் அளவுப் பகுப்பாய்வு
trTurkish
Varyans analizi
ukUkrainian
Дисперсійний аналіз
uzUzbek
Dispersion analiz
zhChinese
方差分析

Popularity rank trends

Best Rank Chinese:
#2459
04.2015
Global:
#3040
06.2011

AI rank trends

Best Rank Chinese:
#5636
09.2015
Global:
#104
03.2001

Local popularity rank history

Global popularity rank history

Local AI rank history

Global AI rank history

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Analysis of variance from Wikipedia articles about F-test, Analysis of covariance, F-distribution, Ronald Fisher and Statistics. Whereas reading the article about Analysis of variance people most often go to Wikipedia articles on Students t-test, F-test, One-way analysis of variance, Ronald Fisher and Law of total variance.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 12 August 2025

On 12 August 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Cristiano Ronaldo, Wednesday, Georgina Rodríguez, ChatGPT, Weapons, Jenna Ortega, deaths in 2025, Taylor Swift, Miguel Uribe Turbay, 2025–26 UEFA Champions League.

In Chinese Wikipedia the most popular articles on that day were: 朱由𣜬, 林岱樺, 林逸欣, 江油未成年人欺凌事件, 鬼滅之刃, 黃士修, 鬼滅之刃角色列表, 锦月如歌, 2025年亞洲盃籃球賽, 鬼滅之刃劇場版 無限城篇.

About WikiRank

The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information