In other words, a good way to complement your learning of a statistical test or procedure is to implement that procedure as an algorithm.
换句话说，补充您的统计测试或过程学习的一个好办法就是将这个过程作为算法实现。
When modeling a statistical test or procedure, you need to figure out which instance variables to declare.
当对统计测试或过程进行建模时，您需要指出声明哪些实例变量。
To compensate for these variations, a statistical procedure known as "equating" is used to account for differences in test difficulty.
为了对以上的变化做出补偿，我们便采取了一个称为“等同”的统计学步骤，以考虑到不同考试的难易差异。
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