Finding Outliers using Interquartile Range | Statistics, IQR, Quartiles

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  • Опубликовано: 21 авг 2024

Комментарии • 26

  • @zyphorx3604
    @zyphorx3604 3 года назад +3

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

    • @WrathofMath
      @WrathofMath  3 года назад +1

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

  • @inna7563
    @inna7563 Год назад

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

  • @saemonne2123
    @saemonne2123 3 месяца назад

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

    • @WrathofMath
      @WrathofMath  3 месяца назад

      Awesome, thanks for watching!

  • @nisritidris-said7809
    @nisritidris-said7809 3 года назад +1

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

    • @WrathofMath
      @WrathofMath  3 года назад +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 3 года назад +1

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

  • @nargiskhan8734
    @nargiskhan8734 10 месяцев назад

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

    • @WrathofMath
      @WrathofMath  10 месяцев назад

      Glad to help - thank you for watching!

  • @amiramulan3587
    @amiramulan3587 2 года назад

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

    • @WrathofMath
      @WrathofMath  2 года назад

      Glad to help, thanks for watching!

  • @shadifm4767
    @shadifm4767 2 года назад

    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  2 года назад

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

  • @rileyfayth
    @rileyfayth 2 года назад

    Thank you 🙏🏽

    • @WrathofMath
      @WrathofMath  2 года назад

      My pleasure, thanks for watching!

  • @tivemajoroh8944
    @tivemajoroh8944 9 месяцев назад

    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  9 месяцев назад +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 9 месяцев назад

      @@WrathofMath ahhh, fabulous thank you so much !

  • @who813
    @who813 2 года назад

    very helpful tysm!

    • @WrathofMath
      @WrathofMath  2 года назад

      Glad to hear it, thanks for watching!

  • @Wedgeman_Riley
    @Wedgeman_Riley Год назад

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

  • @superslim6528
    @superslim6528 3 года назад

    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 Год назад

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

  • @davenhaven
    @davenhaven 5 месяцев назад

    W