So we just need to figure out what this critical value is. And if our value is larger than that critical value, then we can reject the null hypothesis, because that means the probability of getting this is less than 5%. We could reject the null hypothesis and go with the alternative hypothesis. And to figure out that critical value, and remember, once again, we can use z-scores, and we can assume this is a normal distribution, because our sample size is large for either of those samples. We have a sample size of 100. And to figure that out, we just have to figure out, the first step is to say, well, if we just look at a normalized normal distribution like this, what is your critical z-value We're getting a result above that z-value only has a 5% chance, and to do that, so this is actually cumulative, so this whole area right over here is going to be 95% chance. We can just look at the z-table.