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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.

Attributes	Values
rdf:type	Thing yago:WikicatStatisticalRatios yago:Abstraction100002137 yago:MagnitudeRelation113815152 yago:Ratio113819207 yago:Relation100031921
rdfs:label	T-Statistik (de) T 점수 (ko) T-statistic (en)
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)
dct:subject	Parametric statistics Normal distribution Statistical ratios
Wikipage page ID	22474343 (xsd:integer)
Wikipage revision ID	1103242435 (xsd:integer)
Link from a Wikipage to another Wikipage	Prediction interval Ronald Fisher Time series Standard deviation Confidence interval Ancillary statistic Parametric statistics Chi-squared distribution Estimator Asymptotic normality Unit root Friedrich Robert Helmert Consistent estimator Homoscedasticity Simple linear regression Standard normal Standard score Statistical model Statistics Student's t-test Studentized residual Hotelling's t-squared statistic P-value Pivotal quantity Student's t-distribution Normal distribution William Sealy Gosset Errors and residuals in statistics Dublin F-test Normal distribution Folded-t and half-t distributions Posterior probability Regression analysis Statistical ratios Ireland Sample mean Sampling distribution Karl Pearson Biometrika Jacob Lüroth Z-score Standard error (statistics) Augmented Dickey–Fuller test Guinness Brewery Ordinary least squares Statistical hypothesis testing Z-test Pearson distribution Population mean Linear regression model Standardized testing (statistics) Student's t test
sameAs	T-statistic T-statistic T-statistic T-statistic T-statistic T-statistic
dbp:wikiPageUsesTemplate	dbt:! dbt:= dbt:Authority_control dbt:Citation_needed dbt:Further dbt:Main dbt:More_citations_needed dbt:Portal dbt:Reflist dbt:Short_description dbt:Use_dmy_dates
has 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)
gold:hypernym	Ratio
prov:wasDerivedFrom	wikipedia-en:T-statistic?oldid=1103242435&ns=0
page length (characters) of wiki page	11575 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:T-statistic
is differentFrom of	Standard score
is Link from a Wikipage to another Wikipage of	Bem Sex-Role Inventory Šidák correction for t-test Chi-squared distribution Child and Adolescent Symptom Inventory Error correction model

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