Difference between revisions of "AP Statistics Curriculum 2007 NonParam VarIndep"
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[[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 | + | ==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 [[AP_Statistics_Curriculum_2007_ANOVA_1Way | analysis of variance]], assume that variances are equal across groups or samples. | |
==Approach== | ==Approach== | ||
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<hr> | <hr> | ||
− | == | + | ==Alternative tests of Variance Homegeneity== |
− | * | + | * [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] | ||
<hr> | <hr> |
Revision as of 20:21, 15 March 2008
General Advance-Placement (AP) Statistics Curriculum - Variances of Two Independent Samples
Contents
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.
Approach
TBD
Model Validation
TBD
Computational Resources: Internet-based SOCR Tools
TBD
Examples
TBD
Hands-on Activities
TBD
Alternative tests of Variance Homegeneity
- SOCR Home page: http://www.socr.ucla.edu
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