I think one way analysis of variance (ANOVA)

hi

in the most paper used from nonparametric tests such as mann whitney u or kruskal wallis, now, i dont know that which used tests

It depends on your data. if they are normally distributed, then use a parametric test. Otherwise use a non-parametric test

Well Said Dr. Udroiu....

The choice of selecting an appropriate statistical test to calculate the MN frequency will depend on the raw data you obtained from your experiments. First, feed your raw data on any suitable statistical tool, check normality whether your data followed normal distribution or not. Based on that, proceed either parametric or non-parametric tests.

we use chi square test

depend of your data, many authors use ANOVA and someone poshoc, this latter can be Bonferroni or tukey test depending of your homogeneity of variances

It depends on your study approach and data distribution. Although the significant differences between controls and exposed groups is usually reported using the Chi-square test (Ferraro et al., 2004; Lopez-Poleza, 2004; Cavas et al., 2005), other statistical analysis using non-parametric tests such as Mann-Whitney test (Lopes-Poleza, 2004; Grisolia et al., 2005; Bucker et al., 2006; Vanzella, 2006; Andreikënaitë et al., 2007), ¨ or Kruskal-Wallis test (Beninca, 2006; Matsumoto et al., 2006; ´

Vanzella, 2006) are valid and recommended according to the data distribution.

Dear Milad Esmaeilbeigi,

You can use test Analysis two-tailed variance (ANOVA) with design randomized block (nonparametric ANOVA) or nonparametric statistics Kruskal-Wallis test

hi,

it depends on your data. In the most cases they are not normally distributed, therefore you can use a non-parametric test such as Mann Whitney (for two groups) or Kruskal Wallis (for more than two groups).

Non-parametric test because in most cases the data show not normal distribution.

Kruskal Wallis when you have more than 2 groups or Mann Whitney when you have 2 groups.

Good luck

Daer Milad,

I consider it important nonparametric test and as generally have two groups the Kruskal Wallis. Regards

Please refer the attached file 

Article Antigenotoxic Potential of Rutin and Quercetin in Swiss Mice...

You can use SPSS, Anova test (one way analysis of variance)

Then use Duncan,s test to compare between groups