由于采用随机存取技术和一些新算法，使本系统可在微机土对大样本问题进行聚类分析，从而提高了系统的实用性。

With the use of random access technology and some new algorithms, the clustering analysis of large sample can be processed on microcomputer. Thus practicality of this program system is improved.

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当把这个问题交给大样本数的医生时，72%的医生遵循安全和确定的战略选择了方案A。只有28%的医生选择冒险的策略方案B。

When this question was put to a large sample of physicians, 72 percent chose option a, the safe-and-sure strategy, and only 28 percent chose program B, the risky strategy.

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本系统解决的第一个问题是：IRT理论模型有较严苛的基本假设，因此需要建设大样本配合的题库。

The first problem that the system faces: as IRT theory model is imposed severer basic assumptions, so large groups of samples are needed to build the Item bank.

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