题目
A fixed-income analyst uses a proprietary model to estimate bankruptcy probabilities for a group of firms. The model generates probabilities that can take any value between 0 and 1.The resulting set of estimated probabilities would most likely be characterized as:
选项
A.ordinal data.
B.discrete data.
C.continuous data.
答案
C
解析
C is correct. Continuous data are data that can be measured and can take on any numerical value in a specified range of values. In this case, the analyst is estimating bankruptcy probabilities, which can take on any value between 0 and 1. Therefore, the set of bankruptcy probabilities estimated by the analyst would likely be characterized as continuous data. A is incorrect because ordinal data are categorical values that can be logically ordered or ranked. Therefore, the set of bankruptcy probabilities would not be characterized as ordinal data. B is incorrect because discrete data are numerical values that result from a counting process, and therefore the data are limited to a finite number of values. The proprietary model used can generate probabilities that can take any value between 0 and 1; therefore, the set of bankruptcy probabilities would not be characterized as discrete data. C是正确的。连续数据是可以测量的数据，可以在指定的值范围内采用任何数值。在这种情况下，分析员正在估计破产概率，它可以取0到1之间的任何值。因此，分析师估计的破产概率集可能被描述为连续数据。 A是不正确的，因为排序数据是可以逻辑排序或排序的分类数据。因此，破产概率集不会被描述为排序数据。 B是不正确的，因为离散数据是由计数过程产生的数值，因此数据仅限于有限数量的值。使用的专有模型生成概率可以取0到1之间的任何值，故破产概率集不会被描述为离散数据。