False positives are research or test results that are inaccurate and make one think the result is positive, when in fact, it is negative. With a medical test, for example, it could mean a blood test result indicates a problem when there isn’t one. There are, of course, false negatives, but I think in the […]
In my world of science and statistics, a false positive result is called a Type I error, leading to a rejection of the null hypothesis. For example, if the null hypothesis is that, absent changing one’s theory of a case, the case will be won, then improper research is conducted, leading the case to be […]