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