| 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) |
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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) |
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