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In statistics, the t-statistic is the ratio of the difference in a number’s estimated value from its assumed 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…
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used distribution standard hypothesis displaystyle sample error student's mean t-test population estimator t-distribution unknown also hat beta parameter β0 one
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| T-statistic | is a | ratio of the difference in a number’s estimated value from its assumed value to its standard error | 0.90 | text |
| T-statistic | is a | Student's t-distribution with | 0.90 | text |
| T-statistic | related to Definition and features | Let | 0.60 | section |
| T-statistic | related to Definition and features | Then | 0.60 | section |
| T-statistic | related to history | The | 0.60 | section |
| T-statistic | related to history | In | 0.60 | section |
| T-statistic | related to history | Helmert | 0.60 | section |
| T-statistic | related to history | Lüroth | 0.60 | section |
| T-statistic | related to history | Pearson | 0.60 | section |
| T-statistic | related to history | Type IV | 0.60 | section |
| T-statistic | related to history | Karl Pearson's | 0.60 | section |
| T-statistic | related to history | However | 0.60 | section |
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