Measures of Partition 1.1 : Modified Box and Whisker Plot explained with a real example. Easy Peasy

[@victoriaajibade]

Always a delight to learn something new from you sir. Thank you for the teachings

[@PublicHealthResources]

You are most welcome Victoria. I appreciate the feedback 👍

[@aloysiusekee-mb1jz]

Thank you, sir. I appreciate your efforts in making it easy for us to understand Biostatistics.

[@PublicHealthResources]

You are most welcome Aloysius. I appreciate your feedback 😊

[@musaabdullahigarba3345]

Excellent work Sir

[@PublicHealthResources]

Thank you so much Chief

[@emmanuelpembi1253]

Great

[@PublicHealthResources]

Thank you so much Dr Pembi

[@nenezego7303]

Thank you for this👍🏾

[@PublicHealthResources]

Thank you too Doc 😊

[@saiduibrahim9557]

When I read research articles and I see box plots, I quickly flip past because they look intimidating and scary. But now, I'm ready for them! Bring them on!
Thank you Prof, for demystifying box plots in this well packaged delivery ❤❤❤

[@PublicHealthResources]

Glad you found this helpful

[@nafyssah6100]

👏🏾👏🏾👏🏾👏🏾

[@PublicHealthResources]

Thank you too Dr Nafysah 😃

[@JulianChuks]

Nice job here 👍
Thanks for bringing Biostatistics to our door steps and easy peasy ✌️

[@PublicHealthResources]

Am glad you found it useful

[@YAZEEDMUHAMMAD-qe6cb]

Thank you very much Prof.
You really made this course super easy for us

[@PublicHealthResources]

Glad to hear that

[@TracyEhi-l4w]

Thank you sir. Very educative.
✌️

[@bukolaifabiyi7134]

Great video.
Thank you Sir.

[@PublicHealthResources]

You are most welcome

[@goodnessamuta8706]

Well grasped

[@PublicHealthResources]

Glad you like it 🤗

[@firdausiumar-k4f]

Awesome Thank you sir 👍🏼

[@PublicHealthResources]

You are most welcome 🤗

[@asiyahyusuf5561]

Thank you as always sir

[@PublicHealthResources]

Always welcome

[@olajidebabalola4246]

Good lecture sir

[@PublicHealthResources]

Thanks and welcome

[@kanutonia6070]

Perfect 👏👏👏

[@PublicHealthResources]

Glad you think so!

[@muhammadjamilsaleh6645]

Quite Educative

[@muhammadjamilsaleh6645]

A little bit confuse about the answer to m). My answer would have been T (because from Q3 - Q1 is 50% of the data, and the difference is 7 which is under 10 points)

[@PublicHealthResources]

Glad you enjoyed it sir 🤗

[@simonebere844]

Thank you very much

[@PublicHealthResources]

You are welcome

[@Estherjeneboye]

thanks for the video

[@PublicHealthResources]

You're welcome

[@OsejiDanielIkechukwu]

Thank you

[@PublicHealthResources]

You're welcome

[@mercyitodo7717]

Thank you sir

[@PublicHealthResources]

Wishing you all the best Mercy

[@aminasuleimanhassan9943]

Thankss

[@PublicHealthResources]

You are most welcome

[@muzzraj]

Awesome

[@PublicHealthResources]

Thanks Chief 👍

[@jamilaumar4285]

👏👏

[@PublicHealthResources]

Many thanks Jamila

[@Awaziabene]

Good evening sir and thank you for the lecture. I really don't understand how the new minimum and maximum values were arrived at. My calculation is not adding up. Please could you kindly explain? Thank you sir

[@PublicHealthResources]

So what is your calculation? 😅. You actually don’t need any calculation here as the box plot and all the values have been provided you only need to interpret. And the explanation of the interpretation is what was presented. Let me know what is the issue

[@Awaziabene]

Thank you sir 😊

[@WinifredIhenacho]

thank you sir

[@PublicHealthResources]

So nice of you

[@Mike.Ogbeide]

Awesome

[@PublicHealthResources]

Many thanks 😊

[@maryamadeshewaadeshina8095]

Thank you sir

[@PublicHealthResources]

All the best Maryam

[@chinweanapugars8617]

Thank you Sir

[@PublicHealthResources]

Most welcome

[@bashirumuhammed-tl5pk]

Thank you sir

[@PublicHealthResources]

You are most welcome Bashir

[@bifissehabi7436]

Thank you Sir

[@PublicHealthResources]

Most welcome

[@celestinabandawa7012]

Thank you Sir

[@PublicHealthResources]

So nice of you