| 释义 |
non-significant result interpretation If a statistical test does not show a significant result, it is important to interpret this not as positive support for the null hypothesi, but as an absence of strong evidence against it. Thus, we ‘fail to reject' the null hypothesis, rather than ‘accept' it.
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