If you knew this data point and you knew the total, you could figure out that. And if you figured out that and that, then you could figure out this right over here. And so that's why this rule of thumb works. The number of rows minus one times the number of columns minus one gives you your degrees of freedom. Now, given this chi-squared statistic that I haven't calculated, but you could type this into a calculator and figure it out, and this degrees of freedom, we could then figure out the p-value. We could figure out the probability of getting a chi-squared statistic this extreme or more extreme. And if this is less than our significance level, which we should have set ahead of time, then we would reject the null hypothesis and it would suggest the alternative.