So there are three hypotheses for a two way in nova and usually just see the null hypothesis. And I'm gonna write down the alternative. It's really just the opposite of what the knoll would be, but I'll write the null hypotheses. I'll just call this h not one, and they're all pretty much the same thing. At least the first two are, it says for the first one, it's there is uh no difference in group means at any level of the first independent variable. That's the first knoll. The second knoll is almost exactly the same. I'm going to write it as a church, not two, and it says there is no difference in groups. In group means at any level of the second independent variable. And then the third null hypothesis is a little bit different, and that talks about effect. So, the way we were there, this when it says the effect of one independent variable does not depend on the effect of the other independent variable or in other words, no interaction effect. Now, usually you'll just see the knoll because the alternative is just the opposite. But just for clarity, I'll go ahead and write the alternative hypothesis, I'm gonna write the whole thing. But basically the first one is saying that there is a difference, there is a difference between or at at least one level of the first independent variable and then the second alternative same thing, there is a difference. But this time for the second independent variable, and then the third hypothesis would again just be the opposite. There is an interaction, there is and interaction effect between the two independent variables. Okay, so again, typically there are three. There will be three, but generally just written as the null hypothesis. So those are the ones to know, you know, for sure.