Comment on Magic Mirror on the Wall, who has the smallest p of them all?

yamapikariya@lemmyfi.com ⁨4⁩ ⁨weeks⁩ ago

• tacosanonymous@lemm.ee ⁨4⁩ ⁨weeks⁩ ago

  The “p value” is a number, calculated from a statistical test, that describes how likely you are to have found a particular set of observations if the null hypothesis were true.

  P values are used in hypothesis testing to help decide whether to reject the null hypothesis. The smaller the *p *value, the more likely you are to reject the null hypothesis.

  source

  • mkwt@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

    Adding onto this. p < 0.05 is the somewhat arbitrary standard that many journals have for being able to publish a result at all.

    Is you do an experiment to see we whether X affects Y, and get a p = 0.05, you can say, “Either X affects Y, or it doesn’t and an unlikely fluke event occurred during this experiment that had a 1 in 20 chance.”

    Usually, this kind of thing is publishable, but we’ve decided we don’t want to read the paper if that number gets any higher than 1 in 20. No one wants to read the article on, “We failed to determine whether X has an effect on Y or not.”

    source

    • Wilzax@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

      Which is sad because a lot of science is just ruling things out. We should still publish papers that say that if we do an experiment with too small of a sample, we get an inconclusive result, because that starts to put bounds on how strongly a thing gets affected, if an effect occurs at all.

      source
    • MindTraveller@lemmy.ca ⁨4⁩ ⁨weeks⁩ ago

      That’s a shame. Negative results are very important to the process.

      source

      • Tlaloc_Temporal@lemmy.ca ⁨4⁩ ⁨weeks⁩ ago

        Especially considering that PDFs can be just a few Mb, and I doubt people will care if they’re not cached locally.

        source
• demonmittenhands@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

  Smol p.

  source