|WikiProject Statistics||(Rated Start-class, Mid-importance)|
|WikiProject Medicine||(Rated Start-class, Low-importance)|
Can someone replace the abbreviation "resp." that is currently in the lead?
I'm making the request simply because I don't understand the abbreviation. I am ignorant about the subject, but of course that's the audience that the article should help, right?
Wrong lead section of this articleEdit
This article explains "False positives and false negatives" in various areas but the lead section explains only meaning in medical statistics using statistics jargon. More common use of the term is explained more accessibly only further in the article. -- pabouk (talk) 11:49, 8 June 2018 (UTC)
- I have reverted the lead section to a variant from 2016-04-24T16:19:55 which describes the terms in multiple areas instead of medical only. Probably it is too long and needs some shortening. pabouk (talk) 12:14, 8 June 2018 (UTC)
Is it possible to add the layman description? - "Expected result : Negative, actual result : Positive - then, its called as False Positive - i.e., when negative is not negative, its false positive" — Preceding unsigned comment added by Bbee1915 (talk • contribs) 12:02, 20 March 2019 (UTC)
I came across this article, and noticed that some of the examples in it are rather poor. The article uses "The Boy Who Cried Wolf" as an example of a false positive, but that story involves a person deliberately lying. False positives are not about fraud, but about the parameters of a test. I can't think of a good example off the top of my head, but I think a straightforward example from medicine could be the best option. The "Consequences" section is also strange, because it talks about the impacts of false convictions and acquittals in court. These scenarios are not usually called "false positives/negatives," nor are they mentioned elsewhere in the article. I was thinking that the section should be renamed "Impact" and rewritten from scratch without using any of the existing content. It should discuss how a test results are confirmed in medicine and how false results are detected, as well as what effect false positives have on statistical analysis and correlation. Does this approach sound good to others? --DavidK93 (talk) 15:53, 17 December 2019 (UTC)
- @User:DavidK93 The example of the boy who cried wolf is very confusing for the reader, as you say. But the pregnancy test or the guilty/not guilty scenario are actually good examples of false negatives and false positives. I've rewritten it, let me know what you think. PeepleLikeYou (talk) 09:28, 15 August 2020 (UTC)