Hello,

Even independently from the KW test, such a small P-value of an ANOVA indicates highly significant difference(s) between samples. More detailed interpretation requires more detailed information on the tests performed...

All the best,

Olivier

Dear Olivier, you should focus on KW considering is a nonparametric test

Dear Juan,

The question was about how to interpret the P-value of the ANOVA. The nonparametric tests tend to be more conservative than parametric tests and can be used when assumptions of the parametric tests are not met (e.g. normal distribution of the variable).

Cheers,

Olivier

Dear Oliver,

According your P-value, if you are working with parametric data (mainly homogenicity of variances), you should consider that the differences among treatments are no results of external factors. Wheather these differences are very clear, you could present the your treatment(s) as increasing of X-fold with respect to the level(s) observed in your control(s)

Good luck

Thank you Oliver.... Sir..

Hi Juan

If the p value is less than 0.05 it means there is significant different between samples

Hi Zahra, you have significant differences among your treatments at level 0.05. In other research areas, i.e. biomedicine, researchers frequently use lower a P level, 0.01

All the best