Difference between revisions of "Language/Multiple-languages/Vocabulary/Probability-Theory"

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[[Category:Sci-Tech_Index]]
{{Sci-Tech-Index-Intro}}
This is a part of the Sci-Tech Index, a project for science and technology learners.


You can see the titles are a bit of weird. They are going to be read by machine and made use of by other means.
{| class="wikitable sortable"
! cmn-Hans-CN: 科目
! cmn-Latn.Pinyin-CN: kēmù
! deu-Latn-DE: Fach [n]
! eng-Latn-US: subject
! fra-Latn-FR: matière [f]
! jpn-Jpan-JP: 科目
! jpn-Hrkt-JP: か↑もく
! rus-Cyrl-RU: предме́т
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“Prerequisites” for non-English languages are to be generated through programs, so they are kept empty.
{| class="wikitable sortable"
 
! cmn-Hans-CN: 概念 !! cmn-Hans-CN: 前提
In progress.
! cmn-Latn.Pinyin-CN: gàiniàn !! cmn-Latn.Pinyin-CN: qiántí
! deu-Latn-DE: Begriff [m] !! deu-Latn-DE: Voraussetzung [f]
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
! fra-Latn-FR: concept [m] !! fra-Latn-FR: préalable [m]
! jpn-Jpan-JP: 概念 !! jpn-Jpan-JP: 前提
! jpn-Hrkt-JP: が↓いねん !! jpn-Hrkt-JP: ぜ↑んてい
! rus-Cyrl-RU: конце́пция !! rus-Cyrl-RU: предпосы́лка
|-
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| arithmetic mean ||
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| Bayes' theorem, Bayes' law, Bayes' rule, Bayes–Price theorem ||
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| Bernoulli process || random variable; stochastic process
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| characteristic function || probability space; random variable; probability distribution
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| Chebyshev's inequality, Bienaymé–Chebyshev inequality || probability distribution
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| dependent variable || variable <algebra>
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| deterministic system || determinism <metaphysics>
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| elementary event, atomic event, sample point || event; outcome; sample space
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| event || subset <mathematical logic>; sample space
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| experiment || set <mathematical logic>; outcome; randomness
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| independent variable || variable <algebra>
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| jointly exhaustive, collectively exhaustive || set <mathematical logic>; event
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| law of large numbers || expected value
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| law of total probability || marginal distribution; conditional probability
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| Markov chain, Markov process || sequence; event; stochastic process
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| outcome || experiment
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| probability axioms, Kolmogorov axioms ||
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| probability measure || measure <mathematical analysis>; real-valued function; probability space
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| random variable || dependent variable; randomness; outcome
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| randomness ||
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| sample space || experiment
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| stochastic process, random process || random variable
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| tree diagram || probability space; event; independence
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| trial || experiment
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| uncorrelatedness || covariance
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| variance || expectation; deviation; sample mean; population mean
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{| class="wikitable"
{| class="wikitable sortable"
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
|+ probability distribution
! cmn-Hans-CN: 概念 !! cmn-Hans-CN: 前提
! cmn-Hans-CN: 概念 !! cmn-Hans-CN: 前提
! cmn-Latn.Pinyin-CN: gàiniàn !! cmn-Latn.Pinyin-CN: qiántí
! cmn-Latn.Pinyin-CN: gàiniàn !! cmn-Latn.Pinyin-CN: qiántí
! deu-Latn-DE: Begriff [m] !! deu-Latn-DE: Voraussetzung [f]
! deu-Latn-DE: Begriff [m] !! deu-Latn-DE: Voraussetzung [f]
! eng-Latn-US: concept !! eng-Latn-US: prerequisite
! fra-Latn-FR: concept [m] !! fra-Latn-FR: préalable [m]
! fra-Latn-FR: concept [m] !! fra-Latn-FR: préalable [m]
! jpn-Hrkt-JP: がいねん !! jpn-Hrkt-JP: ぜんたい
! jpn-Jpan-JP: 概念 !! jpn-Jpan-JP: 前提
! jpn-Jpan-JP: 概念 !! jpn-Jpan-JP: 前提
! jpn-Hrkt-JP: が↓いねん !! jpn-Hrkt-JP: ぜ↑んてい
! rus-Cyrl-RU: конце́пция !! rus-Cyrl-RU: предпосы́лка
! rus-Cyrl-RU: конце́пция !! rus-Cyrl-RU: предпосы́лка
|-
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| probability distribution || function <mathematical logic>; outcome
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| binomial distribution || binomial coefficient <number theory>; discrete probability distribution
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| discrete probability distribution  || probability distribution
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| logistic distribution || probability distribution <probability theory>
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| normal distribution, Gauss distribution, Laplace–Gauss distribution || probability distribution; random variable; arithmetic mean; expected value
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[[File:1024px-Dice_Distribution_(bar).svg.png]]
<center>
https://upload.wikimedia.org/wikipedia/commons/thumb/1/12/Dice_Distribution_%28bar%29.svg/512px-Dice_Distribution_%28bar%29.svg.png
</center>


== * Related Free Educational Resources ==
{{Sci-Tech-Index-Menu}}
{| class="wikitable"
! branch
! name
! link
! language
! public license
|-
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== <div style="color:#ffad00; font-weight:bold;">-- AUTHOR --</div> ==
==Other Lessons==
[https://polyglotclub.com/member/GrimPixel GrimPixel]
* [[Language/Multiple-languages/Vocabulary/Optics|Optics]]
* [[Language/Multiple-languages/Vocabulary/Logic|Logic]]
* [[Language/Multiple-languages/Vocabulary/Numerals|Numerals]]
* [[Language/Multiple-languages/Vocabulary/Collocations-with-take|Collocations with take]]
* [[Language/Multiple-languages/Vocabulary/Unit-of-Measurement|Unit of Measurement]]
* [[Language/Multiple-languages/Vocabulary/Longest-words|Longest words]]
* [[Language/Multiple-languages/Vocabulary/Similarities-between-French-and-Spanish|Similarities between French and Spanish]]
* [[Language/Multiple-languages/Vocabulary/Musical-Notes-in-Many-Languages|Musical Notes in Many Languages]]
* [[Language/Multiple-languages/Vocabulary/Lack-of-love-in-many-languages|Lack of love in many languages]]
* [[Language/Multiple-languages/Vocabulary/Computer-Language|Computer Language]]
* [[Language/Multiple-languages/Vocabulary/Count-from-1-to-10-in-many-languages|Count from 1 to 10 in many languages]]
* [[Language/Multiple-languages/Vocabulary/Similar-Business-Entities|Similar Business Entities]]
* [[Language/Multiple-languages/Vocabulary/Topology|Topology]]
* [[Language/Multiple-languages/Vocabulary/Geometry|Geometry]]
* [[Language/Multiple-languages/Vocabulary/Wine-Terms|Wine Terms]]
<span links></span>

Latest revision as of 12:52, 27 March 2023

Hello polyglots, 😀

On this page you will find a part of the Sci–Tech Index, a project for science and technology learners.

cmn-Hans-CN: 科目 cmn-Latn.Pinyin-CN: kēmù deu-Latn-DE: Fach [n] eng-Latn-US: subject fra-Latn-FR: matière [f] jpn-Jpan-JP: 科目 jpn-Hrkt-JP: か↑もく rus-Cyrl-RU: предме́т
cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] eng-Latn-US: concept eng-Latn-US: prerequisite fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
arithmetic mean
Bayes' theorem, Bayes' law, Bayes' rule, Bayes–Price theorem
Bernoulli process random variable; stochastic process
characteristic function probability space; random variable; probability distribution
Chebyshev's inequality, Bienaymé–Chebyshev inequality probability distribution
dependent variable variable <algebra>
deterministic system determinism <metaphysics>
elementary event, atomic event, sample point event; outcome; sample space
event subset <mathematical logic>; sample space
experiment set <mathematical logic>; outcome; randomness
independent variable variable <algebra>
jointly exhaustive, collectively exhaustive set <mathematical logic>; event
law of large numbers expected value
law of total probability marginal distribution; conditional probability
Markov chain, Markov process sequence; event; stochastic process
outcome experiment
probability axioms, Kolmogorov axioms
probability measure measure <mathematical analysis>; real-valued function; probability space
random variable dependent variable; randomness; outcome
randomness
sample space experiment
stochastic process, random process random variable
tree diagram probability space; event; independence
trial experiment
uncorrelatedness covariance
variance expectation; deviation; sample mean; population mean
probability distribution
cmn-Hans-CN: 概念 cmn-Hans-CN: 前提 cmn-Latn.Pinyin-CN: gàiniàn cmn-Latn.Pinyin-CN: qiántí deu-Latn-DE: Begriff [m] deu-Latn-DE: Voraussetzung [f] eng-Latn-US: concept eng-Latn-US: prerequisite fra-Latn-FR: concept [m] fra-Latn-FR: préalable [m] jpn-Jpan-JP: 概念 jpn-Jpan-JP: 前提 jpn-Hrkt-JP: が↓いねん jpn-Hrkt-JP: ぜ↑んてい rus-Cyrl-RU: конце́пция rus-Cyrl-RU: предпосы́лка
probability distribution function <mathematical logic>; outcome
binomial distribution binomial coefficient <number theory>; discrete probability distribution
discrete probability distribution probability distribution
logistic distribution probability distribution <probability theory>
normal distribution, Gauss distribution, Laplace–Gauss distribution probability distribution; random variable; arithmetic mean; expected value

512px-Dice_Distribution_%28bar%29.svg.png

Unmaintained! Moved to a Codeberg repository. Use Foam with VSCodium to visualise the content.

Other Lessons[edit | edit source]