One, the mean for sure shifted. The mean here for sure got pushed out. It definitely got scaled up. But also, we see that the standard deviations got scaled, that the standard deviation right over here of z, that this has been scaled, it actually turns out that it's been scaled by a factor of k. So this is going to be equal to k times the standard deviation of our random variable x. And it turns out that our mean right over here, so let me write that too, that our mean of our random variable z is going to be equal to, that's also going to be scaled up, times, or it's gonna be k times the mean of our random variable x. So the big takeaways here, if you have one random variable that's constructed by adding a constant to another random variable, it's going to shift the mean by that constant, but it's not going to affect the standard deviation. If you try to scale, if you multiply one random variable to get another one by some constant, then that's going to affect both the standard deviation, it's gonna scale that, and it's going to affect the mean.