I have two differing-length sequences of binary values. In each sequence, each value corresponds to an observation which is either right or wrong.
I'm looking for a statistical test that addresses the question "are there significantly more right answers in one sequence?"
Which test is most appropriate?
I'm looking at Fisher's chi-squared test and Fisher's exact test, but I'm not exactly sure how to use each one.
EDIT: More details The study consisted of a 2-alternative forced choice recognition task. Two videos were displayed, then a third. Subjects had to match the third video with one of the first two, and the binary result collected was set to 1 if they were correct.
Trials were in random order, so shuffling the response vectors has no effect.