This whole term's gonna be zero. And so the expected value of y is really just p. And so if you said the expected value of x, well that's just going to be, let me just write it over here, this is all review. We could say that the expected value of x is just going to be equal to, we know from our expected value properties, that's going to be equal to the sum of the expected values of these n y's. Or you could say it is n times the expected value, times the expected value of y. The expected value of y is p. So this is going to be equal to n times p. Now we're gonna do the same idea to figure out what the variance of x is going to be equal to. Because we could see, we know from our variance properties, you can't do this with standard deviation, but you could do it with variance. And then once you figure out the variance, you just take the square root for the standard deviation.