From that sample, we calculate a sample proportion of adults that support the tax increase. We see 113 out of 200 support it, which is going to be equal to, let's see, that is the same thing as 56.5%. So 56.5%. And so the key is is to figure out the P value. What is the probability of getting a result this much above the assumed proportion or greater, at least this much above the assumed proportion if we assume that the null hypothesis is true? And if that probability, if that P value is below a preset threshold, if it's below our significance level, they haven't told it to us yet, it looks like they're gonna give some in the choices, well, then we would reject the null hypothesis, which would suggest the alternative. If the P value is not lower than this, then we will fail to reject the null hypothesis.