one-tail test

one-tail test

[¦wən ¦tāl ′test]
(statistics)
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49 is statistically significant at the 10% level in a one-tail test (15.
If p is equal to or more than one third, that would support Amnesty International, so we have a one-tail test.
We can make this a one-tail test to the right by selecting the sample for the enhanced fertilizer as sample one.
Significantly higher than average failure rate at 5% level using a one-tail test,
Significantly higher than average failure rate at 1% level using a one-tail test.
infinity]) Significantly lower than average failure rate at 1% level using a one-tail test.
954, suggesting that the hypothesis cannot be rejected at the 5 percent level of significance on the basis of a one-tail test.
Since the products in a two-output production function cannot be complements, a one-tail test is appropriate for testing the hypothesis that the coefficient [[Beta].
In our problem, the correct test is a one-tail test, using the left tail as the rejection region because we would be inclined to reject the null hypothesis only for relatively small values of the sample proportion (much smaller than 10%).
The rejection region where the null hypothesis is rejected) of a one-tail test can either be in the right tail or in left tail.
05), the second research question (RQ 2) was tested using one-tail tests.