probably a noob question because I'm a noob.
I have two coins, A and B. For each coin I have a sample of the results I get by tossing it. My null hypothesis is that A has equal or higher probability to land on HEAD than B, but that probability is unknown (as well as B's probability). However, the data shows me that B seems to be more probable to land on HEAD. How can I test the null hypothesis?
It seems to me that a simple t-test won't work - A coin toss is Bernoulli distributed, and not normally distributed. I thought about dividing each sample to sub-samples, consider the ratio of HEADs in each subsample as a random variable that is distributed approximately like a normal variable, and then use t-test. However, this seems like a complicated (and inaccurate) solution for a basic (the most basic?) question.
bonus points: what's the effect size?