# AP Statistics Curriculum 2007 NonParam VarIndep

### From Socr

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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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- | == | + | ==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 01:13, 16 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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