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. The variance of x is similarly going to be the sum of the variances of these n y's. So it's going to be similarly n times the variance, n times the variance of y. So this all boils down to what is the variance of y going to be equal to?