Test whether the variance of a population is one:

The

-values are typically large under

:

The

-values are typically small when

is false:

Compare the variance of a population to a particular value:

Compare the variances of two populations:

The

-values are typically large when the variances are equal:

The

-values are typically small when the variances are not equal:

Test whether the ratio of the variances of two populations is a particular value:

The following forms are equivalent:

The order of the datasets should be considered when determining

:

Using

Automatic applies the generally most powerful appropriate test:

The property

can be used to determine which test was chosen:

Perform a particular test for equal variance:

Any number of tests can be performed simultaneously:

Perform all tests appropriate to the data simultaneously:

Use the property

to identify which tests were used:

Create a

HypothesisTestData object for repeated property extraction:

The properties available for extraction:

Extract some properties from a

HypothesisTestData object:

The

-value and test statistic from a Levene test:

Extract any number of properties simultaneously:

The

-value and test statistic from the Brown-Forsythe test:

Tabulate the results from a selection of tests:

A full table of all appropriate test results:

A table of selected test results:

Retrieve the entries from a test table for customized reporting:

The

-values are above 0.05, so there is not enough evidence to reject normality at that level:

Tabulate

-values for a test or group of tests:

The

-value from the table:

A table of

-values from all appropriate tests:

A table of

-values from a subset of tests:

Report the test statistic from a test or group of tests:

The test statistic from the table:

A table of test statistics from all appropriate tests: