| dbo:abstract
|
- Die t-Statistik misst die Abweichung des geschätzten Wertes eines Parameters von seinem hypothetisch angenommenen Wert (in Einheiten des Standardfehlers des Schätzers mit unbekannter Standardabweichung der Grundgesamtheit): . Ist die Standardabweichung bekannt, so kann stattdessen die z-Statistik berechnet werden. Die t-Statistik wird im t-Test, die z-Statistik im z-Test verwendet. (de)
- In statistics, the t-statistic is the ratio of the departure of the estimated value of a parameter from its hypothesized value to its standard error. It is used in hypothesis testing via Student's t-test. The t-statistic is used in a t-test to determine whether to support or reject the null hypothesis. It is very similar to the z-score but with the difference that t-statistic is used when the sample size is small or the population standard deviation is unknown. For example, the t-statistic is used in estimating the population mean from a sampling distribution of sample means if the population standard deviation is unknown. It is also used along with p-value when running hypothesis tests where the p-value tells us what the odds are of the results to have happened. (en)
- t값(t score)은 z값(z score)이 소수(小數)로서 음수와 양수에 걸쳐 분포하는 것을 재설정해줌으로써 자연수와 백분위수로 표현해 보여줄 수 있다는 점에서 데이터의 가독성을 보다 높인 값이다. 즉 t값(t score)은 z값(z score)으로부터 단위변환된 값이라고 할 수 있다. (ko)
|
| dbo:wikiPageID
| |
| dbo:wikiPageLength
|
- 11575 (xsd:nonNegativeInteger)
|
| dbo:wikiPageRevisionID
| |
| dbo:wikiPageWikiLink
| |
| dbp:wikiPageUsesTemplate
| |
| dcterms:subject
| |
| gold:hypernym
| |
| rdf:type
| |
| rdfs:comment
|
- Die t-Statistik misst die Abweichung des geschätzten Wertes eines Parameters von seinem hypothetisch angenommenen Wert (in Einheiten des Standardfehlers des Schätzers mit unbekannter Standardabweichung der Grundgesamtheit): . Ist die Standardabweichung bekannt, so kann stattdessen die z-Statistik berechnet werden. Die t-Statistik wird im t-Test, die z-Statistik im z-Test verwendet. (de)
- In statistics, the t-statistic is the ratio of the departure of the estimated value of a parameter from its hypothesized value to its standard error. It is used in hypothesis testing via Student's t-test. The t-statistic is used in a t-test to determine whether to support or reject the null hypothesis. It is very similar to the z-score but with the difference that t-statistic is used when the sample size is small or the population standard deviation is unknown. For example, the t-statistic is used in estimating the population mean from a sampling distribution of sample means if the population standard deviation is unknown. It is also used along with p-value when running hypothesis tests where the p-value tells us what the odds are of the results to have happened. (en)
- t값(t score)은 z값(z score)이 소수(小數)로서 음수와 양수에 걸쳐 분포하는 것을 재설정해줌으로써 자연수와 백분위수로 표현해 보여줄 수 있다는 점에서 데이터의 가독성을 보다 높인 값이다. 즉 t값(t score)은 z값(z score)으로부터 단위변환된 값이라고 할 수 있다. (ko)
|
| rdfs:label
|
- T-Statistik (de)
- T 점수 (ko)
- T-statistic (en)
|
| owl:sameAs
| |
| prov:wasDerivedFrom
| |
| foaf:isPrimaryTopicOf
| |
| is dbo:wikiPageRedirects
of | |
| is dbo:wikiPageWikiLink
of | |
| is owl:differentFrom
of | |
| is foaf:primaryTopic
of | |
