I'm comparing an intervention using a pre and post knowledge survey. My pre sample size is n=37, my post is n=32. The variance for the pre is 7.08 and 6.94 for post. The histogram of the pre is skewed right with a Shapiro-Wilk p-value of .048, the histogram of post looks more normal with a SW p-value of .087.
As my sample sizes are >30 I'm thinking it's fine to violate the normality assumption for the t-test (as my pre isn't normal)? As the sample sizes are similar and variances are similar I'm thinking I could use a independent sample t-test with equal variances. Is this the case or is there a strict rule that even if variances are similar the sample sizes HAVE to be the same for an equal variance t-test, in which case I could just use an unequal variance t-test?