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在科技论文中,对连续性数据如质量、长度、温度、时间、直径、年龄等分组的情况极其常见,但能正确表示者却不多。例如:“发病豆荚分级标准为:0级,豆荚无病;Ⅰ级,豆荚上有0.5cm2以下浸润斑点;Ⅱ级,豆荚上有0.5~1.0cm2浸润斑,生有少量白色菌丝;Ⅲ级,浸润斑面积1.0~2.0cm2,其上密生白色菌丝;Ⅳ级,病斑面积2.0cm2以上,或整个豆荚发病……”中对发病豆荚的分级就存在数据重叠的问题:病斑面积刚好1.0cm2属于Ⅱ级还是Ⅲ级?
In scientific papers, it is extremely common to group continuous data such as quality, length, temperature, time, diameter, age, etc., but few are correctly represented. For example: “The grading standard of the disease pod was: 0 grade, disease-free pods; Grade I, there were 0.5 cm 2 infiltration spots on the pods; Grade Ⅱ, 0.5-1.0 cm 2 infiltrative spots on the pods and a small amount of white mycelium; Grade, infiltrated spot area 1.0 ~ 2.0cm2, which on the dense white mycelium; Ⅳ grade, lesion area of 2.0cm2 or more, or the entire pod disease ...... ”in the incidence of pod grading there is the problem of data overlap: Area 1.0cm2 just belong to Ⅱ or Ⅲ grade?