Language/Multiple-languages/Vocabulary/Probability-Theory
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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.
“Prerequisites” for language–script–region combinations except the first one are to be generated through programs, so they are kept empty.
In progress.
eng-Latn-US: concept | eng-Latn-US: prerequisite | 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] | 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 | rus-Cyrl-RU: конце́пция | rus-Cyrl-RU: предпосы́лка |
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probability theory |
eng-Latn-US: concept | eng-Latn-US: prerequisite | 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] | 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 | rus-Cyrl-RU: конце́пция | rus-Cyrl-RU: предпосы́лка |
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arithmetic mean | |||||||||||||||
binomial distribution | binomial coefficient <number theory>, discrete probability distribution | ||||||||||||||
characteristic function (probability theory) | probability space, random variable, probability distribution | ||||||||||||||
determinism | |||||||||||||||
dependent variable | variable (set of attribute) | ||||||||||||||
deterministic system | determinism | ||||||||||||||
discrete probability distribution | probability distribution | ||||||||||||||
event (probability theory) | subset <set theory>, sample space | ||||||||||||||
experiment (probability theory) | set (set theory) <set theory>, outcome (probability theory), randomness | ||||||||||||||
independent variable | variable (set of attribute) | ||||||||||||||
indeterminism | |||||||||||||||
jointly exhaustive, collectively exhaustive | set <set theory>, event (probability theory) | ||||||||||||||
Markov chain, Markov process | sequence, event (probability theory), stocastic process | ||||||||||||||
normal distribution, Gauss distribution, Laplace–Gauss distribution | probability distribution, random variable, arithmetic mean, expected value | ||||||||||||||
outcome (probability theory) | experiment (probability theory) | ||||||||||||||
probability axioms, Kolmogorov axioms | |||||||||||||||
probability distribution | function (mathematical analysis), outcome (probability theory) | ||||||||||||||
random variable | dependent variable, randomness, outcome (probability theory) | ||||||||||||||
randomness | |||||||||||||||
sample space | experiment (probability theory) | ||||||||||||||
stochastic process, random process | random variable | ||||||||||||||
tree diagram (probability theory) | probability space, event (probability theory), independence (probability) | ||||||||||||||
trial (probability theory) | experiment (probability theory) | ||||||||||||||
uncorrelatedness (probability theory) | covariance (probability theory) |
* Appendix *
Symbol
symbol | eng-Latn-US: concept |
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Ordinance
eng-Latn-US: ordinance | eng-Latn-US: explanation |
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Process
eng-Latn-US: process | eng-Latn-US: input and output |
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Related Free Educational Resources
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