# AP Statistics Curriculum 2007 NonParam VarIndep

(Difference between revisions)
 Revision as of 23:59, 20 June 2007 (view source)IvoDinov (Talk | contribs)← Older edit Revision as of 01:15, 16 March 2008 (view source)IvoDinov (Talk | contribs) Newer edit → Line 1: Line 1: [[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] -  Variances of Two Independent Samples [[AP_Statistics_Curriculum_2007 | General Advance-Placement (AP) Statistics Curriculum]] -  Variances of Two Independent Samples - ==Differences of Variances of Two Independent Samples== + ==Differences of Variances of Independent Samples== - TBD + It is frequently necessary to test if ''k'' samples have equal variances. Equal variances across samples is called ''homogeneity of variances''. Some statistical tests, for example the [[AP_Statistics_Curriculum_2007_ANOVA_1Way | analysis of variance]], assume that variances are equal across groups or samples. ==Approach== ==Approach== Line 21: Line 21:

- ==References== + ==Alternative tests of Variance Homegeneity== - * TBD + * [http://en.wikipedia.org/wiki/Levene_test Levene Test] + * [http://en.wikipedia.org/wiki/Bartlett's_test Bartlett Test] + * [http://en.wikipedia.org/wiki/Brown-Forsythe_test Brown-Forsythe_test]

## Revision as of 01:15, 16 March 2008

General Advance-Placement (AP) Statistics Curriculum - Variances of Two Independent Samples

## Differences of Variances of Independent Samples

It is frequently necessary to test if k samples have equal variances. Equal variances across samples is called homogeneity of variances. Some statistical tests, for example the analysis of variance, assume that variances are equal across groups or samples.

TBD

TBD

TBD

TBD

TBD