In statistics, bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable. Typically it would be of interest to investigate the possible association between the two variables. The association can be studied via a tabular or graphical display, or via sample statistics which might be used for inference. The method used to investigate the association would depend on the level of measurement of the variable. This association that involves exactly two variables can be termed a bivariate correlation, or bivariate association.
| Attributes | Values |
|---|
| rdf:type
| |
| rdfs:label
| - Bivariate data (en)
- Sonraí dé-athráideacha (ga)
|
| rdfs:comment
| - In statistics, bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable. Typically it would be of interest to investigate the possible association between the two variables. The association can be studied via a tabular or graphical display, or via sample statistics which might be used for inference. The method used to investigate the association would depend on the level of measurement of the variable. This association that involves exactly two variables can be termed a bivariate correlation, or bivariate association. (en)
- I staitisticí, is éard is sonraí dé-athráideacha ná sonraí ar gach ceann de dhá athróg, ina ndéantar luach gach ceann de na hathróga a phéireáil le luach na hathróige eile. Go hiondúil bheadh sé ina ábhar spéise imscrúdú a dhéanamh ar an mbaint a d’fhéadfadh a bheith idir an dá athróg. Is féidir staidéar a dhéanamh ar an gcomhcheangal trí thaispeántas táblach nó grafach, nó trí staitisticí samplacha a d’fhéadfaí a úsáid le haghaidh infeiris. Bheadh an modh a úsáidtear chun an comhcheangal a fhiosrú ag brath ar na hathróige. (ga)
|
| dcterms:subject
| |
| Wikipage page ID
| |
| Wikipage revision ID
| |
| Link from a Wikipage to another Wikipage
| |
| sameAs
| |
| dbp:wikiPageUsesTemplate
| |
| has abstract
| - In statistics, bivariate data is data on each of two variables, where each value of one of the variables is paired with a value of the other variable. Typically it would be of interest to investigate the possible association between the two variables. The association can be studied via a tabular or graphical display, or via sample statistics which might be used for inference. The method used to investigate the association would depend on the level of measurement of the variable. This association that involves exactly two variables can be termed a bivariate correlation, or bivariate association. For two quantitative variables (interval or ratio in level of measurement) a scatterplot can be used and a correlation coefficient or regression model can be used to quantify the association. For two qualitative variables (nominal or ordinal in level of measurement) a contingency table can be used to view the data, and a measure of association or a test of independence could be used. If the variables are quantitative, the pairs of values of these two variables are often represented as individual points in a plane using a scatter plot. This is done so that the relationship (if any) between the variables is easily seen. For example, bivariate data on a scatter plot could be used to study the relationship between stride length and length of legs.In a bivariate correlation, outliers can be incredibly problematic when they involve both extreme scores on both variables. The best way to look for these outliers is to look at the scatterplots and see if any data points stand out between the variables. (en)
- I staitisticí, is éard is sonraí dé-athráideacha ná sonraí ar gach ceann de dhá athróg, ina ndéantar luach gach ceann de na hathróga a phéireáil le luach na hathróige eile. Go hiondúil bheadh sé ina ábhar spéise imscrúdú a dhéanamh ar an mbaint a d’fhéadfadh a bheith idir an dá athróg. Is féidir staidéar a dhéanamh ar an gcomhcheangal trí thaispeántas táblach nó grafach, nó trí staitisticí samplacha a d’fhéadfaí a úsáid le haghaidh infeiris. Bheadh an modh a úsáidtear chun an comhcheangal a fhiosrú ag brath ar na hathróige. I gcás dhá athróg chainníochtúil (eatramh nó cóimheas i leibhéal an tomhais) is féidir scaipghraf a úsáid agus comhéifeacht chomhchoibhnis nó samhail chúlchéimnithe a úsáid chun na hathróige a chainníochtú. I gcás dhá athróg cháilíochtúil (ainmniúil nó orduimhriúil i leibhéal an tomhais) is féidir tábla teagmhasachta a úsáid chun na sonraí a fheiceáil, agus d'fhéadfaí leas a bhaint as tomhas na hathróga nó tástáil neamhspleáchais. Más athróga cainníochtúla iad, is minic a léirítear péirí luachanna an dá athróg seo mar phointí aonair i bplána ag baint úsáide as scaipghram. Déantar é seo ionas gur féidir an gaol (más ann dó) idir na hathróga a fheiceáil go héasca. Mar shampla, d’fhéadfaí sonraí dé-athráideacha ar scaipghram a úsáid chun staidéar a dhéanamh ar an ngaol idir fad truslóige agus fad na gcos. I gcomhchoibhneas dé-athráideach, is féidir le hasluitigh a bheith thar a bheith amhrasach nuair a bhaineann siad le dhá scór foircneach ar dhá athróg. Is é an bealach is fearr chun na hasluaileacha seo a chuardach ná féachaint ar na scaipghraim agus féachaint an seasann aon phointe sonraí amach idir na hathróga. (ga)
|
| gold:hypernym
| |
| prov:wasDerivedFrom
| |
| page length (characters) of wiki page
| |
| foaf:isPrimaryTopicOf
| |
| is Link from a Wikipage to another Wikipage
of | |
| is Wikipage disambiguates
of | |
| is foaf:primaryTopic
of | |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)