 In this video, we're going to go over the chi-square test one-line command. And so this command does what our randomization procedure does, sort of under the hood, so we'd never need to see what's going on, but the basis of both methods is the exact same. So I've gone ahead and printed our table here to remind us of what the table was. And so if we want to do a one-liner, we're going to use this command up here, stats.chi-square. We need f-obs, which is the observed count, and we need f-expect, which is the expected count. And so just to note that unless specifically stated, you can do either method to conduct the chi-square test as you see fit, but if we specify that we want the randomization procedure, then you need to do that loop that we did in an earlier video. And so to conduct this one-liner, I'm going to call the variable stats or results, and we just say stats.chi-square. We give it our observed variable, which is table count. We give it the expected variable, which is counts exp, or count exp, whatever we called it up here, just to make sure it's count exp. And then we can print evalue as just results dot evalue. And so from here, we could then make a conclusion and say that the p-value is greater than our significance level. So we fail to reject or accept the null hypothesis, similar to what we did up here. So we have the same conclusion for both styles of test.