Thanks for the super cool explanation!! What is the purpose of each box. For example smaller box and large box and the box enclosing these two box. TIA (:
Great question. It helps us understand how the data is distributed visually. If you’ve worked with the bell curve before, they’re related. Each section of the box and whisker plot holds 25% of the data. So the big box holds 50% of the data. Hope that helps!
So it has been determined that anything more than 1.5x away from quartile 1 and 3 is considered an outlier. It has to do with standard deviations, etc. This article explains it better than I ever could...towardsdatascience.com/why-1-5-in-iqr-method-of-outlier-detection-5d07fdc82097 Fantastic question btw!
you multiply 16 by 150% which would give you an outlier that is outside de 100% data created by the box and whiskers. Each part of the box is 25% that is where the word quartile comes from. All parts of the box and whiskers will add to 100%.
Great explanation!!
Glad it was helpful!
Thank youu so much! this helps me with my math ^^ luv from Indonesia!
I'm so glad it helped! I'm amazed I reach Indonesia! Thanks for letting me know!
Thanks mam love from Pakistan you are now the teacher of the world ❤🎉
That's amazing! Thanks for the view and comment!
you're helped me a lot for my tomorrow test. Thank you so muchhh
You're welcome! Good luck on your test!
Watched this at midnight
How appropriate! 😄😄
You saved me from my final exam, thankyou so much!!
You’re welcome! I’m glad you found it helpful!
Thank you ❤️
Best explanation
You’re welcome! I’m so glad it was helpful.
Thank you very much. I could not understand how to make the whiskers.
I'm so glad it helped! Thanks so much for letting me know!
@@midnightmathtutor3597 You are welcome, it is the least I could do.
So the median and max stay the same after we eliminate the small outlier?
yes
thanks this helped me
I’m so glad!!
Thanks for the super cool explanation!! What is the purpose of each box. For example smaller box and large box and the box enclosing these two box. TIA (:
Great question. It helps us understand how the data is distributed visually. If you’ve worked with the bell curve before, they’re related. Each section of the box and whisker plot holds 25% of the data. So the big box holds 50% of the data. Hope that helps!
@@midnightmathtutor3597 awesome thanks 🙏🏻
@@tech-is-logic of course!
watching 2 hrs before exam
@@BatttttMan ahhhh! I’m honored you would take a precious second to leave a comment! Good luck!
Why you multiply with 16 to 1.5
So it has been determined that anything more than 1.5x away from quartile 1 and 3 is considered an outlier. It has to do with standard deviations, etc. This article explains it better than I ever could...towardsdatascience.com/why-1-5-in-iqr-method-of-outlier-detection-5d07fdc82097
Fantastic question btw!
you multiply 16 by 150% which would give you an outlier that is outside de 100% data created by the box and whiskers. Each part of the box is 25% that is where the word quartile comes from. All parts of the box and whiskers will add to 100%.