anova_brownforsythe(A, B, C,..., alpha)

Brown-Forsythe test for k means using significance level alpha.


See also anova_levene anova_duncan anova_scheffe 



Example


A=(14.5, 13.4, 14.1, 15.1)

( 14.5 13.4 14.1 15.1 )


B=(13.2, 12.7, 12.6, 13.9, 13.1)

( 13.2 12.7 12.6 13.9 13.1 )


C=(14.8, 15.2, 14.4, 13.3, 15, 14.8)

( 14.8 15.2 14.4 13.3 15 14.8 )


D=(16.1, 16.2, 14.7, 16.4, 14.2)

( 16.1 16.2 14.7 16.4 14.2 )


anova_brownforsythe(A,B,C,D,.05)vv


Brown-Forsythe Robust Test for equality of means.

Ho : Means are equal

Ha : Means are not equal.

Significance level : 0.05 (5.0%)

Results:


Do not reject the null hypothesis. (1.0)

+------------------+------+-------------+----------+

| Brown-Forsythe   |      |             |          |

| Statistic        |  df1 |         df2 |   Sig.   |

+------------------+------+-------------|----------+

|          8.91872 |    3 |    12.47362 |  0.00200 |

+------------------+------+-------------|----------+