1. Student's t-test for two samples using the proportion of yes in each sample.
2. I would create a new variable summing up the total number of yes in each group. Then I'd perform again a student's t-test for two samples on the average of this variable.
1. BINARY DATA may be tested under the DeMoivre-Laplace theorem where the Z score is obtain by:
Z = (YES - nP) / sqrt(nPQ)
where YES = total number of YES and n = sample size, P = (success + 1)/(n + 2) and Q = 1 - P. For probability of the Z score, take the Z score and look up the corresponding % probability in the Z table.
2. TWO GROUPS COMPARISON may be analyzed for the significant difference of group 1 and group 1 where Z1 and Z2 are used. Z = (Z1 - Z2). The % difference of (FZ1) - F(Z2) may be looked up at the Z table.