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如题,分析中似乎将「一类错误」和「二类错误」的概念混淆了。 根据维基百科等信源,这两个概念的定义是:
若零假设事实上成立,但统计检验的结果拒绝零假设(接受备择假设),这种错误称为第一类错误。 若零假设事实上不成立,但统计检验的结果不拒绝零假设,这种错误称为第二类错误。
也就是说一类错误应当指的是「某事为真而不承认其真」,二类错误则是「某事不真而相信其真」,而不是反之,分析中可能错将「一类错误」和「二类错误」张冠李戴了。
本人并非专业,仅利用网络信息短暂自学,如有误还请多包涵
The text was updated successfully, but these errors were encountered:
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如题,分析中似乎将「一类错误」和「二类错误」的概念混淆了。
根据维基百科等信源,这两个概念的定义是:
也就是说一类错误应当指的是「某事为真而不承认其真」,二类错误则是「某事不真而相信其真」,而不是反之,分析中可能错将「一类错误」和「二类错误」张冠李戴了。
本人并非专业,仅利用网络信息短暂自学,如有误还请多包涵
The text was updated successfully, but these errors were encountered: