- example, the
variance of a sum of
uncorrelated random variables is
equal to the sum of
their variances. A
disadvantage of the
variance for practical...
- Look up
variance in Wiktionary, the free dictionary. In
probability theory and statistics,
variance measures how far a set of
numbers are
spread out....
- statistics, an F-test of
equality of
variances is a test for the null
hypothesis that two
normal po****tions have the same
variance. Notionally, any F-test can...
- readers, a more
informative name is "Welch's
unequal variances t-test" — or "unequal
variances t-test" for brevity. Sometimes, it is
referred as Satterthwaite...
- x} . The
disturbance in
matrix D is
homoscedastic because the
diagonal variances are constant, even
though the off-diagonal
covariances are non-zero and...
- normality, and
homogeneity of
variances of the residuals. The randomization-based
analysis ****umes only the
homogeneity of the
variances of the
residuals (as a...
- \mathbf {X} }} is also
often called the
variance-covariance matrix,
since the
diagonal terms are in fact
variances. By comparison, the
notation for the cross-covariance...
- Bootstrapping.: 321 For
uncorrelated observations with
variances σ i 2 {\displaystyle \sigma _{i}^{2}} , the
variance of the
weighted sample mean is[citation needed]...
-
total variance is a
fundamental result in
probability theory that
expresses the
variance of a
random variable Y in
terms of its
conditional variances and...
- of
users of the
variance information and may
include e.g.:
Variable cost
variances Direct material variances Direct labour variances Variable production...
