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 ...
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 ...
A one-tailed test is 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.
In this circumstance a one-tailed test is employed. The null hypothesis (H0) for a
one tailed test is that the mean is greater (or less) than or equal to µ, and the ...
The first of these is what is known as a one–tailed test, while the second is known
as a two–tailed test. This refers back to the normal distribution and our sample ...
By contrast, the null hypothesis for the one-tailed test is π ≤ 0.5. Accordingly, we
reject the two-tailed hypothesis if the sample proportion deviates greatly from ...
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
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
A one-tailed test, also known as a directional hypothesis, is a test of significance
to determine if there is a relationship between the variables in one direction.
Yo' mama is so bad at statistics, she thought a one-tailed test was an obedience
school for dogs! This lesson defines one-tailed tests, a type of...