So over here we have a table, and this is actually called a contingency table.

所以在这里我们有一个表，这实际上叫做列联表。

Now to do this, we have to calculate a chi-square statistic for this contingency table.

现在要做到这一点，我们必须计算这个列联表的卡方统计量。

So the rule of thumb for a contingency table is you have the number of rows, so you have rows, and then you have your number of columns.

所以列联表的经验法则是你有行数，所以你有行，然后你有你的列数。

So with that out of the way, let's think about how we can use this information in the contingency table and our knowledge of the chi-square distribution to come up with some conclusion.

因此， 既然如此，让我们考虑一下如何使用列联表中的这些信息以及我们对卡方分布的了解来得出一些结论。

And I'll give you the rule of thumb, and I'll give you a little bit of a sense of why this is the rule of thumb for a contingency table like this.

我会给你一些经验法则，让你稍微了解一下为什么这是像这样的列联表的经验法则。

And the degrees of freedom, and this is the rule of thumb, the degrees of freedom for your contingency table is going to be the number of rows minus 1 times the number of columns minus 1.

和自由度， 这是经验法则，列联表的自由度将是行数减去 1 乘以列数减去 1。