Finding Outliers using Interquartile Range | Statistics, IQR, Quartiles

Sdílet
Vložit
  • čas přidán 12. 09. 2024

Komentáře • 26

  • @zyphorx3604
    @zyphorx3604 Před 4 lety +3

    Thank you so much for this clarification! Helped me study for my RS1 progress check.

    • @WrathofMath
      @WrathofMath  Před 4 lety +1

      You're very welcome, I'm glad it helped!

  • @inna7563
    @inna7563 Před rokem

    Thank you so much for your SIMPLE AND DETAILED explanation! I understand the topic better now!!

  • @nisritidris-said7809
    @nisritidris-said7809 Před 3 lety +1

    Thank you so much! btw I thought this was Sheldon from big bang explaining while watching.

    • @WrathofMath
      @WrathofMath  Před 3 lety +1

      You're very welcome, thanks for watching! I've heard that before, perhaps if they ever make an animated version of the show they can save money by hiring me for the voice acting! 😁

  • @tinni9242
    @tinni9242 Před 4 lety +1

    Hey...thanks for the explanation. Could you elaborate on the "1.5"? Any particular reason for this formula?

  • @nargiskhan8734
    @nargiskhan8734 Před 11 měsíci

    This was so helpful, Keep up the good work. Thank You.

    • @WrathofMath
      @WrathofMath  Před 11 měsíci

      Glad to help - thank you for watching!

  • @saemonne2123
    @saemonne2123 Před 3 měsíci

    just too clear, been giving me hard time but after this video, its cool

  • @amiramulan3587
    @amiramulan3587 Před 2 lety

    Thanks, I needed this!!!!!!!!

  • @tivemajoroh8944
    @tivemajoroh8944 Před 10 měsíci

    Hey thanks for this! I was just wondering what if the two numbers are the same when calculating the median ? E,g 1,2,3,3,4,5 if the median is still 3 would I still include the other 3s in my first and third quartile ?

    • @WrathofMath
      @WrathofMath  Před 10 měsíci +1

      Depends on the length of the data list. In your example there is an even number of points, so we split it right down the middle, half the data to the left, half to the right. If the data set is odd, like 1, 2, 3, 3, 3, 4, 5, then we exclude the median, which is 3, and split the data across that median, so our lower half is 1, 2, 3, and our upper half is 3, 4, 5. The third 3, the one actually in the middle, is excluded.

    • @tivemajoroh8944
      @tivemajoroh8944 Před 10 měsíci

      @@WrathofMath ahhh, fabulous thank you so much !

  • @rileyfayth
    @rileyfayth Před 2 lety

    Thank you 🙏🏽

  • @shadifm4767
    @shadifm4767 Před 2 lety

    Thanks for explanation. Is it possible to not find any outliers in our data?! Because i did a test through this way and i didn’t have any value less than my lower bound and even not value greater than upper bound!

    • @WrathofMath
      @WrathofMath  Před 2 lety

      Thanks for watching and absolutely! It's perfectly normal to find no outliers.

  • @who813
    @who813 Před 3 lety

    very helpful tysm!

    • @WrathofMath
      @WrathofMath  Před 3 lety

      Glad to hear it, thanks for watching!

  • @superslim6528
    @superslim6528 Před 3 lety

    Thanks. However, what happens if I use 1/4(N+1)th value to find Q1, which gives 66 instead of 67? Could you kindly explain?

    • @harshsomani6473
      @harshsomani6473 Před rokem

      Hi, this is late but when you get the 3.75th position you can just round up instead of finding a weighted mean.

  • @Wedgeman_Riley
    @Wedgeman_Riley Před rokem

    when your doing your A-levels and have to come back to the basics

  • @davenhaven
    @davenhaven Před 6 měsíci

    W