Say I have treatment and control, perfectly randomized.
I have 70000 conversions for treatment in 80000 users. I have 70100 converions for control in 800100 users.
My null hypothesis is that there is at least a one percent difference between the conversion rates.
prop.test
does not allow you to set a "difference" level, such as t.test does. Given how many observations I have, it does seem like I could simply use a t.test.
But I wanted to see: How can I use a z-score test that tests for a certain threshold as the null hypothesis?
Should the numerator, instead of $\mu_1 - \mu_2$ instead be $\mu_1 - \mu_2 - c$, where $c$ is the difference I want to test? (say, 0.01 for a 1 point difference in proportions?)