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In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test is appropriate if the estimated value is greater or less than a certain range of values, for example, whether a test taker may…
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test one-tailed two-tailed distribution direction null hypothesis would p-value significant statistic whether one value tests data testing critical two tails
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| the normal distribution | instance of | In the case of a symmetric distribution | 0.80 | text |
| the one-tailed p-value is exactly half the two-tailed p-value | instance of | In the case of a symmetric distribution | 0.80 | text |
| One- and two-tailed tests | related to Specific tests | If | 0.60 | section |
| One- and two-tailed tests | related to Specific tests | Student's | 0.60 | section |
| One- and two-tailed tests | related to Specific tests | Z-test | 0.60 | section |
| One- and two-tailed tests | related to Specific tests | The | 0.60 | section |
| One- and two-tailed tests | related to Specific tests | That | 0.60 | section |
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