P-Value: Why Everyone Gets It Wrong (But Here's How You Can Use It)

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  • Опубліковано 19 жов 2024
  • This video tackles the commonly misused concept of p-values in statistics. In a clear and relatable way, the video explains p-values using a humorous analogy: determining if someone went to the movies based on whether they ate a burrito.
    The video argues that p-values by themselves are not enough and should be compared to a "comparison probability" to determine significance. It also highlights the importance of considering prior knowledge and using a case-by-case approach.
    While the video acknowledges the ongoing debate about p-values and the future of inferential statistics, it offers practical takeaways that you can use right now to improve your understanding and usage of p-values in your projects.
    Here's the link to the article I mentioned about the current state of affairs with the p-value: royalsocietypu...

КОМЕНТАРІ • 6

  • @hemiacplurge3572
    @hemiacplurge3572 2 місяці тому +1

    That was some extreme rendition, and very advanced interrogation of an analogy.

    • @ProductScholar
      @ProductScholar  2 місяці тому

      I'm thinking that's what it'll take to overcome the century of p-value misuse - so I'll take that as a compliment. :) Extreme Rendition would be a great band name.

  • @jamesdavis3851
    @jamesdavis3851 2 місяці тому +1

    There is no definition of a p-value. This isn't rocket science.

    • @ProductScholar
      @ProductScholar  2 місяці тому

      Do you mean to say there's no definition of a p-value in the video, or at all? I suppose that depends on what the definition of definition is. :D (I know, I'm not actually funny... but I'll make the jokes anyway.) I did some rocket science (adjacent) work right out of college. That was easier than getting an engrained understanding of the p-value.

    • @jamesdavis3851
      @jamesdavis3851 2 місяці тому +1

      @@ProductScholar Sorry for being unclear. The video doesn't give a definition of p-value. We don't have to define definitions, the term has a generally accepted english use. It's the probability of obtaining a given result or a more extreme one. There are subtleties in there, worthy of a video.
      It's a good video, I didn't mean to be unkind. I liked commented and subscribed.

    • @ProductScholar
      @ProductScholar  2 місяці тому +1

      @@jamesdavis3851, thanks! And no worries. I'm typically unclear myself, and need to work at it to be clear - which is why I asked. For example, I was making a (bad) joke on the definitions thing (as well as a subtle political reference from 25 years ago). And I agree that I didn't use the explicit standard definition of p-value... because it seems to not have been a super effective way for many people to have learned what the p-value is. Hence the video of a different approach to learning it. The sticky part is typically around the "assuming the null hypothesis is true" part (or in the vid, not going to the movies).😆