So I have the following tables (simplified here):

this is Ost_data

This is West_data

Ost_data has 76 rows and West_data has 324 rows.

I am tasked with proving my hypothesis that the Variable "Langzeitarbeitslose" is statistically, significantly higher in Ost_data than in West_data. Because that variable is not normally distributed I am trying to use Pearson's Chi Square Test.

I tried

chisq.test(Ost_data$Langzeitarbeitslose, West_data$Langzeitarbeitslose)

but that just retuns that it can't be performed because x and y differs in length.

Is there a way to navigate around that problem and perform the Chi Square test regardless with my two tables which have varying lengths?

CodePudding user response：

Pearson's ChiSq test is when the rows are measuring the same thing. It sounds like here your rows are just measuring some quantity on repeated samples, so you should use a t-test.

t.test(Ost_data$Langzeitarbeitslose, West_data$Langzeitarbeitslose)