To find the sampling distribution of the Chi Square statistic, simply take the outcome of each experiment and compute a Chi Square statistic for that result.
为了找到X平方分布统计的抽样分布，只需获取每次实验的结果，并且计算该结果的x平方分布统计。
Finally, I demonstrated how to simulate the Chi Square sampling distribution for different degrees of freedom, going beyond simply commenting on its derivation.
最后，我演示了如何模拟不同自由度的x平方分布的抽样分布，而不只是仅说明其来源。
To find this probability, you need to understand what the sampling distribution for Chi Square looks like.
要得出这一概率，需要理解X平方分布的抽样分布是什么样的。
Look at the Chi Square sampling distribution.
观察x平方分布的抽样分布。
This is why the shape of the Chi Square sampling distribution changes for different df values.
这就是为什么X平方分布的抽样分布的形状随着df值的不同而变化的原因。
This setting is used to find the location (or critical value) on the Chi Square sampling distribution that includes a tail area equal to the alpha-cutoff value (0.05).
该设置用于查找 X平方分布的抽样分布中包含尾数区域等于alpha 断开值（0.05）的位置（或临界值）。
The included file, Distribution.php, contains methods that generate sampling-distribution statistics for several commonly used sampling distributions (Student t, Fisher f, Chi Square).
所包含的文件Distribution . php包含了为几个常用的抽样分布(t分布、f分布和X平方分布)生成抽样分布统计信息的方法。
The coded results were analyzed with chi-square tests to determine if the distribution of verb morphology would show bias towards any of the aspectual categories.
研究中对谓语动词的屈折变化进行编码，并用卡方检验来分析动词屈折变化分布是否偏向于某一类或几类情状体类型。
The coded results were analyzed with chi-square tests to determine if the distribution of verb morphology would show bias towards any of the aspectual categories.
研究中对谓语动词的屈折变化进行编码，并用卡方检验来分析动词屈折变化分布是否偏向于某一类或几类情状体类型。
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