Statistics
E96221
Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Statistics canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T815773 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Statistics Context triple: [Julia, hasStandardLibrary, Statistics]
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A.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
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B.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
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C.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
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D.
Marketing Science
Marketing Science is a leading peer-reviewed academic journal that focuses on quantitative research and modeling in marketing and related fields.
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E.
School of Statistics and Mathematics
The School of Statistics and Mathematics is an academic unit of Zhongnan University of Economics and Law specializing in education and research in statistics, mathematics, and their applications to economics and related fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Statistics Target entity description: Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
-
A.
Stat.
Stat. is the standard legal citation abbreviation for the United States Statutes at Large, the official chronological compilation of all federal laws and resolutions enacted by the U.S. Congress.
-
B.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
-
C.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
-
D.
Marketing Science
Marketing Science is a leading peer-reviewed academic journal that focuses on quantitative research and modeling in marketing and related fields.
-
E.
School of Statistics and Mathematics
The School of Statistics and Mathematics is an academic unit of Zhongnan University of Economics and Law specializing in education and research in statistics, mathematics, and their applications to economics and related fields.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf | Julia standard library module ⓘ |
| category |
data analysis
ⓘ
numerical computing ⓘ |
| documentationURL | https://docs.julialang.org/en/v1/stdlib/Statistics/ ⓘ |
| hostProject |
Julia
ⓘ
surface form:
JuliaLang
|
| importStyle | using Statistics ⓘ |
| includesFunction |
cor
ⓘ
corm ⓘ counts ⓘ cov ⓘ covm ⓘ freqtable ⓘ geomean ⓘ harmmean ⓘ kurtosis ⓘ mad ⓘ mean ⓘ mean! (in-place mean for some types) ⓘ median ⓘ middle ⓘ mode ⓘ pvalue ⓘ quantile ⓘ sem ⓘ skewness ⓘ std ⓘ stdm ⓘ tvalue ⓘ var ⓘ varm ⓘ zscore ⓘ |
| introducedInVersion |
Julia
ⓘ
surface form:
Julia 0.7
|
| license | MIT License (via Julia language distribution) ⓘ |
| moduleName | Statistics ⓘ |
| partOf | Julia Base distribution ⓘ |
| programmingLanguage | Julia ⓘ |
| providesFunctionality |
basic statistical functions
ⓘ
descriptive statistics ⓘ summary statistics ⓘ |
| replaces | statistical functions formerly in Base ⓘ |
| repositoryPlatform |
GitHub
ⓘ
surface form:
GitHub (via JuliaLang/julia monorepo)
|
| supportsDataType | numerical data ⓘ |
| supportsDimensionArgument | dims keyword ⓘ |
| supportsInput |
AbstractArray
ⓘ
Real numbers ⓘ SubArray ⓘ views of arrays ⓘ |
| supportsMissingData |
passmissing (via Missings.jl integration)
ⓘ
skipmissing wrapper ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Statistics Description of subject: Statistics is a Julia standard library module that provides basic statistical functions such as means, variances, and related summary measures for numerical data.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.