如果他推断说，她感兴趣，而她其实上不感兴趣，那么他犯了假阳性的错误(统计人员所谓的“第一类”错误)。
If he infers that she is interested when she is in fact not interested, then he has made an error of false positive (what the statisticians call the "Type I" error).
这意味着当程序移回到主框架以进行更综合的测试时，出现错误测试结果或者假错误的风险被减小了。
This means that the risk of false test results or spurious errors is minimized when the application is moved back to the mainframe for more comprehensive testing.
系统和设备之间的操作不一致性会增加假阳性警报，从而导致患者治疗管理的错误，有些错误甚至可能是致命的。
Operating inconsistencies among systems and apparatus that increases the rate of false positive alarms leads to errors in patient care management, some of which are possibly fatal.
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