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noncentral distribution
Updated on 04/19/2018
a
distribution
in which the
noncentrality parameter
is not equal to zero: In statistical
significance testing
, such a distribution is obtained when the
null hypothesis
under test is false. The noncentral version of a distribution has a different mean,
skewness
, and
variance
(among other properties) than its corresponding
central distribution
, as well as a larger proportion of numbers beyond the
critical values
. For example, the
chi-square distribution
,
F distribution
, and
t distribution
all have corresponding noncentral versions signified by a noncentrality parameter that is not equal to zero.
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