• Zorque@lemmy.world
    link
    fedilink
    English
    arrow-up
    23
    arrow-down
    5
    ·
    1 month ago

    The median is an average. There’s generally three types of average, Mean (what you’re talking about), Median (the one they’re talking about), and Mode (the one rarely talked about).

    • passepartout@feddit.org
      link
      fedilink
      arrow-up
      13
      arrow-down
      1
      ·
      edit-2
      1 month ago

      Sorry for being nitpicky and thanks for naming them all. I just assume the term average is equivalent to mean average in peoples heads. For uneven distributions, like wealth or life expectancy are I assume, mean average in itself just wouldn’t be a useful measurement.

      • Onomatopoeia@lemmy.cafe
        link
        fedilink
        English
        arrow-up
        8
        ·
        1 month ago

        Yes, when most people say average, they mean mean. Few people I’ve met know the other concepts even exist.

        • poke@sh.itjust.works
          link
          fedilink
          arrow-up
          7
          ·
          1 month ago

          US public schools taught me that mean=average and the others were themselves, not that average describes any process to find a “normal” value. Just throwing that out there so people know why the conversation above happens so frequently.

        • TauZero@mander.xyz
          link
          fedilink
          arrow-up
          3
          ·
          1 month ago

          The very wiki article quoted says average to mean mean (made explicit later). OP showerthought was calculating life expectancy in a way different than commonly understood. The first nitpick was correct.

        • TranquilTurbulence@lemmy.zip
          link
          fedilink
          English
          arrow-up
          3
          ·
          1 month ago

          Even Excel has a function called “average”, whereas R uses the “mean” function for the same thing. Interestingly, R doesn’t have a function called “average”, because that term is far too ambiguous to statisticians. I think that summarizes pretty well who these tools were made for.