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).
要检验虚假设，需要知道在假设存在随机抽样可变性的情况下获得这么一个极限值的概率。
To test your null hypothesis, you want to know the probability of obtaining a value this extreme under the assumption that it is due to random sampling variability.
对这两种极限状态，应分别采用随机事件和模糊随机事件概率的数学模型进行其可靠度分析。
The mathematical models of probability of random event and fuzzy random event should be taken to analyze the reliability of a structure for these two kinds of limit state.
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