I have a question about the chi squared independence test, I'm working on dataset and I'm interested in finding the link between the categories of product and the gender, I plot my contingency table.
contingency_table :-
I found that p-value is1.54*10-5 implying that my variables are correlated. I don't really understand how is it possible because the proportion between man and women for each category are very similar.
The proportion between men and women within three product categories has no connection with chi-squared test of independence. Sex (male versus female) does generally have strong impact on buying a particular product category. A very low p value is indicative of fact that there is strong evidence for an association between two variables. Chi-square statistic gives the magnitude of association or relationship between two variables.