Boxplots in Statistics | Statistics Tutorial | MarinStatsLectures

This statistics video tutorial presents the boxplots and all of the useful info they convey. A boxplot is a commonly seen plot, and conveys a lot of information in a single plot. You have likely seen these plots in many papers. They are useful for describing the distribution of a numeric variable, as well as indicating a few key points, such as the median and quartiles. They are also useful in identifying outliers. While an outlier should not just be removed from a dataset without just cause, it can be helpful in identifying these observations for further examination, or at least for understanding where they are. Later, we will discuss the effect outliers can have on summary measures such as the mean and standard deviation.

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Our Team:
Content Creator: Mike Marin (B.Sc., MSc.) Senior Instructor at UBC.
Producer and Creative Manager: Ladan Hamadani (B.Sc., BA., MPH)

These videos are created by #marinstatslectures to support some statistics courses at the University of British Columbia (UBC) (#IntroductoryStatistics and #RVideoTutorials ), although we make all videos available to the everyone everywhere for free.

Thanks for watching! Have fun and remember that statistics is almost as beautiful as a unicorn!

#statistics #rprogramming

[saraasd]

thank you so much. I am watching these and it is the first time ever that I feel like I can understand stats. thank you so so so much from the bottom of my heart

[elizabethzepeda]

Excellent explanation! You're the best stats teacher! You got me through my ANOVA and linear regression class during grad school.

[sureshgeddada]

Before watching your videos I've faced difficulty in understanding some concepts. But after watching your videos, those concepts became very easy. Thank you sir

[pb]

Man, where the heck have you been all this time. Your courses and the way you teach is god damn amazing. Thanks so much!!!!

[jeffreylin]

Excellent explanation! Sometimes I turn to these videos to get an idea on how to explain things to my peers and fellows. It's always useful.

[muhammedhadedy]

One of the best illustrations I've ever seen. Thank you so much for your great videos.

[aminpatel]

thanks marin that the most simplest and clear way of explaining boxplot n outlier, it very helpful for me to understand it.

[raitup]

Great video. I will be waiting the next graph interpretetion.

[vishnu]

Awesome professor...love every bit of it..are you planning to add more videos..planning to cover all the courses of yours!

[vishaltiwari]

Excellent videos these are, Really amazed !!!!

[Salahud_din]

What is the intuition behind the formula for fence (Q3 - 1.5(Q3-Q1))

[Ali-lmuw]

How do we know what the q1 and q3 is? How do we calculate it?

[shaonmaji]

Hi, can u recommend a book which I may follow and practice problems from.

[Ottiya]

This is great! Thanks for sharing. How do you record these videos? It's such an interesting way to have the board up in front of the screen instead of behind the presenter. Are you writing backwards?

[StopBeingVictimsItsNotGodly]

If you are a beginner, how do you take notes on these?

[gabynavarrete]

Excellent but you can explain also with the software like Statistica? Thank you.

[TheThodoris]

Hello, I didn't understand the smooth line on the flipped graph. Why is this happening?

[alyasshah]

sir in your module missing some lectures of 1.17-2.0

[MohitChaudhary]

Hi sir i want to become data scientist but i don't know where to start i am 16 and my parents don't know much about it i watched lots of online courses like statistics for big data but they only tells how to solve problem they don't tell what can i do with this solved problem u won't believe i watched around 300 video on statistics but none of them was helpful can you please guide me or can you please tell which books should i read so i can find some patterns in data .

[yomolandia]

Prior to defining upper and lower fences, I get to calculate the median and Q1 and the Q3 including the outliers. Am I right?
Is it possible to exclude the outliers first, then calculate the IQR to produce a boxplot?