How to Make a Boxplot with Outliers

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Modified Boxplots are just what they sound like. They are a boxplot (or box and whisker plot) that has been modified to show outliers with an asterisk. They need the same 5 pieces of information as a box and whisker plot: Minimum, First Quartile, Second Quartile, Third Quartile, and Maximum. After you find these, we use the Inner Quartile Range (IQR) to figure out what numbers are outliers. If you have any outliers, you adjust your minimum and/or maximum and plot the points.
Special shoutout to ‪@jeffreyspence3292‬ who pointed out my first record of this had a couple embarrassing addition mistakes :D🤦‍♀️
Just wanting to make a box and whisker plot not a modified boxplot? Watch here:
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[@Car-yk1tg]

You saved me from my final exam, thankyou so much!!

[@midnightmathtutor3597]

You’re welcome! I’m glad you found it helpful!

[@sarahmalik714]

Thank you ❤️
Best explanation

[@midnightmathtutor3597]

You’re welcome! I’m so glad it was helpful.

[@alaiasparkle]

you're helped me a lot for my tomorrow test. Thank you so muchhh

[@midnightmathtutor3597]

You're welcome! Good luck on your test!

[@Selemione]

Thank youu so much! this helps me with my math ^^ luv from Indonesia!

[@midnightmathtutor3597]

I'm so glad it helped! I'm amazed I reach Indonesia! Thanks for letting me know!

[@RoniaBiju]

thanks this helped me

[@midnightmathtutor3597]

I’m so glad!!

[@sedroulenardovianneyplisso9927]

Thank you very much. I could not understand how to make the whiskers.

[@midnightmathtutor3597]

I'm so glad it helped! Thanks so much for letting me know!

[@sedroulenardovianneyplisso9927]

@@midnightmathtutor3597 You are welcome, it is the least I could do.

[@zilehumaali9404]

Why you multiply with 16 to 1.5

[@midnightmathtutor3597]

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!

[@claudiaaustin9125]

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%.