Hi, you should use ANOVA and the corresponding tests only if your data meet the assumptions of ANOVA, the most important being that your residuals are normally distributed, with 0 mean and identical variance. You can check these assumptions using a normality test and a variance test. If you are afraid of not meeting the normality assumptions, you can use the Kruskal Wallis test that also allows post hoc test for multiple comparisons. For the KW test, I recommend StatXact or XLSTAT as they have exact and Monte Carlo based p-values. For the post hoc test R and XLSTAT are probably the most complete.
Camille





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