A statistical test in which the critical area of a distribution is one-sided so that it is either greater than or less than a certain value, but not both. If the sample that is being tested falls into the one-sided critical area, the alternative hypo...
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 ...
Because the one-tailed test provides more power to detect an effect, you may be
tempted to use a one-tailed test whenever you have a hypothesis about the ...
I'm not here to say a one-tailed test is inherently useless, but rather it is a risky
point of confusion when understanding the validity of your testing campaigns and
You could have done a similar type of hypothesis test with; the same experiment
where you only had a one-tailed test. And the way we could have done that is ...
The one-tailed test gets its name from testing the area under one of the tails (
sides) of a normal distribution, although the test can be used in other non-normal
Definition of one-tailed test, from the Stat Trek dictionary of statistical terms and
concepts. This statistics glossary includes definitions of all technical terms used ...
being a statistical test for which the critical region consists of all values of the test
statistic greater than a given value or less than a given value but not both ...
A one-tailed test is a test that will be interpreted only if the effect meets the
criterion for significance and falls in the observed direction (i.e. the treatment
Why would you want to use a one tailed test? To find out if the true parameter (
e.g., mean, proportion, difference in means, differences in proportions) is greater