The ChiSquare1D.php class needs access to the Chi Square methods in Distribution.php to compute the tail probability of an obtained Chi Square value.
php类必须能够访问Distribution.php中的 X平方分布方法，以计算所得到的 X平方分布值的尾数概率。
It includes the degrees of freedom used in the analysis and the obtained Chi Square value is reported again.
它包括了分析中使用的自由度，并再次报告了获得的x平方分布值。
In practice, I don't use such graphs to compute tail probabilities because I can implement mathematical functions to return the tail probability for a given Chi Square value.
实际上，我不使用这些图来计算尾数概率，因为我可以实现数学函数来返回给定x平方分布值的尾数概率。
In general, the probability of obtaining a large Chi Square value goes down as you increase the number of response options in your study.
通常，当您在实验中增加回答选项的数目时，获得较大x平方分布值的概率会下降。
So, as you add response options, the statistical probability of obtaining a large Chi Square value should increase and the probability of obtaining smaller Chi Square value decreases.
因此，当您增加回答选项时，获得大的x平方分布值的统计概率应该增加，而获得较小x平方分布值的概率会减少。
Just to confirm this conclusion, you can compare the obtained Chi Square value to the Critical value.
为了确认这一结论，可以用获得的x平方分布值与临界值进行比较。
In this study, the obtained Chi Square value was larger then the Critical value.
在本文中，获得的X平方分布值大于临界值。
The obtained Chi Square value is re-expressed as a tail probability value -- in this case, 0.02.
获得的X平方分布值被重新表示成尾数概率值 —在本例中是 0.02。
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）。
This means that the probability of observing a Chi Square value as extreme as 9.80 under the null hypothesis is 2 percent (which is quite a low probability).
这意味着，在虚假设条件下，观察到X平方分布极限值 9.80的概率是 2％（这是一个相当低的概率）。
This means that the probability of observing a Chi Square value as extreme as 9.80 under the null hypothesis is 2 percent (which is quite a low probability).
这意味着，在虚假设条件下，观察到X平方分布极限值 9.80的概率是 2％（这是一个相当低的概率）。
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