Chi-square variance test

returns
a test decision for the null hypothesis that the data in vector `h`

= vartest(`x`

,`v`

)`x`

comes
from a normal distribution with variance `v`

, using
the chi-square
variance test. The alternative hypothesis is that `x`

comes
from a normal distribution with a different variance. The result `h`

is `1`

if
the test rejects the null hypothesis at the 5% significance level,
and `0`

otherwise.

performs
the chi-square variance test with additional options specified by
one or more name-value pair arguments. For example, you can change
the significance level or conduct a one-sided test.`h`

= vartest(`x`

,`v`

,`Name,Value`

)

Use

`sampsizepwr`

to calculate:The sample size that corresponds to specified power and parameter values;

The power achieved for a particular sample size, given the true parameter value;

The parameter value detectable with the specified sample size and power.