I'd like to run a chi-squared test in Python with scipy. I've created code to do this, but I don't know if what I'm doing is right, because the scipy docs are quite sparse.
Background first: I have two groups of users. My null hypothesis is that there is no significant difference in whether people in either group are more likely to use desktop, mobile, or tablet.
These are the observed frequencies in the two groups:
[[u'desktop', 14452], [u'mobile', 4073], [u'tablet', 4287]] [[u'desktop', 30864], [u'mobile', 11439], [u'tablet', 9887]]
Here is my code using
obs = np.array([14452, 4073, 4287], [30864, 11439, 9887]) chi2, p, dof, expected = stats.chi2_contingency(obs) print p
This gives me a p-value of
2.02258737401e-38, which clearly is significant.