# Can I use both parametric and non-parametric tests?

I have 3 variables, A1, A2 and A3

A1 is temperature
A2 is month
A3 is location


A2 has 2 months - March and May. A3 has 2 cities - Chennai and Dubai.

My data is non-normally distributed and I am trying to compare the 3 groups with the Kruskall-Wallis test to see there is a difference between A2 and A3

kruskal.test(my_data=data, A2~A3)

Kruskal-Wallis rank sum test
data:  A2 by A3
Kruskal-Wallis chi-squared = 0, df = 1, p-value = 1


is a p-value of 1 correct and can I do a ANOVA (Parametric test) to make sure that there is no difference between A2 and A3, even though the data is non-normally distributed?

Many Thanks, Ishack

• "a difference between A2 and A3". a difference between month and location? – user158565 Nov 20 '18 at 16:05
• yes that is correct – Ishack Marshook Nov 20 '18 at 16:23
• That doesn't make sense, month and location are not on the same scale (and neither sounds like a random variable). Your code also seems to have errors. What is the question you're trying to answer from these data? what is the working hypothesis? – Glen_b Nov 21 '18 at 1:37