Quartiles, Boxplots, Outliers

How to find quartiles, create a boxplot, and test for outliers.

[@iloveeveryone8611]

That random dog howl was an interesting addition to the tutorial.

[@ericphan8806]

who said it was a dog?

[@sunzalea3257]

@@ericphan8806 the lady in the video

[@valanor]

that dog howl played a perfect role for me to grasp the concept of box plots hence it was very essential

[@shreeyanshshahi5064]

your dog howling freaked me out....................nice tutorial helped me a lot....thanku

[@shaunmcknight7354]

Holy crap I was falling asleep watching this and your dog howled! I thought the world was ending.

[@PerfectHilton]

LMFAO!! That was hilarious....

[@ericphan8806]

who said it was a dog

[@noUGames]

lol I was watching this in a quite library & started laughing out loud at that dog segment, awkward

[@lee.beknowin]

this was the easiest video I've ever experienced. Keep up the awesome work!!!

[@KhaledTheSaudiHawkII]

You're one of the best things america has ever produced

[@janviergalle]

I enjoy this video very much. You sure prepared your lecture so well and presented it step by step making it so simple to understand. Thank you much !!

[@mohammedalshen3147]

Lovely video. Thanks. Got what i wanted after a long search!.

[@Cmac.9411]

4:55 that was amazing

[@saswatabhattacharya5187]

Very clearly explained. Concepts are crystal clear. Thanks a lot.

[@smithmarta]

Excellent video!

[@EricWZ]

Thanks this helped a lot. Had no idea what an outlier was because my professor forgot to go over it with us, and then gave us an assignment on it. So i resorted to youtube to teach me lol.

[@jasminekhattra4951]

Lol the dog was the best part

[@paristruman676]

You pooted, then the dog howled. You didnt think that anyone heard it? Well I did. Great video too.

[@heezoibeid]

Thank you so much! excellent video

[@swarnabhagrawal9211]

Thanks a lot for such a concise and clear info on quartiles , really helped me a lot :)

[@peppermint381]

simple and to the point, thank you :)

[@hoseahphilan8559]

Well explained. Clear and to the point Prof. I wish you could also post a lecture on Dixon Q-test, will really appreciate.

[@nikhil4sharma]

4:55 when the EARTH STOOD STILL

[@atakojackylucky7923]

thank you very much may god bless you

[@sheenajohnson5024]

Very nice explanation ma'am.Keep posting such videos. Simple and clear explanation 👌

[@leighlinaga3629]

Thank you for your lesson!

[@cyrillehounvio7638]

Excellent video

[@jeffreygreig3336]

Thank you so much! This was really helpful, and helped prepare me for my math test!

[@waltarman2569]

Thank you great helpful video!

[@zakkennedy1173]

THANK YOU! That helped so much you don't even know.

[@Romailk1]

what a perfect explaination. really helped me understand it. thankyou. 👌

[@missawesome8244]

The dog carried the video 😌

[@quangtungpham4204]

Thank so much MathJaxx. i learnt a new way to count Q1 and Q3

[@mtinbayram7179]

Year 2023 but still best

[@7Ties]

Dog: OOOOOOOOOOOOOOOO Everyone: Lol thats funny😂 Me: IM TRYING TO LEARN HERE DUDE!😡😡😡😡😂😂

[@augustayarteh7524]

Aw this teaching is good for me I needed It so bad for my next exam.

[@shahrajm]

good and concise to refresh concepts.. :)

[@khoshalrahimi]

thank u very much you have done a brief explanation and this video solved all my confusion about this topic keep it up may allah bless you.

[@ModestyisbeautifuL643]

great video

[@threat_zm7197]

Cheers mayo 🙌

[@cupcakeoly122]

GO ON 4:55 that's when it howls

[@Rezayath]

Thank you so much

[@amyamonet1366]

Omgg thank u so much this is so helpful!!

[@israrkhancil]

it is very informative and descriptive teaching on Box plot, Quartiles and Outliers study

[@gehanharbi5140]

Really useful thanks

[@docniemo4713]

Great!

[@narasimhapuvalla3211]

thank you so much.... why we choose 1.5 in finding outliers

[@muhammadmesum2846]

Thanks, means a lot...

[@NVAKADATIRUMALARAO]

awesome

[@harishbabuk.s4344]

thats as awesome explanation...

[@singh1441]

Your alarm was really annoying😂😂😂. By the way I find your explanation very helpful. Thanks. Love from india

[@innocentsoul6352]

amazing video really its help me alot

[@hsankram1637]

very nice, thants

[@KenechukwuEzekwem]

Thanks

[@talsiyabi93]

Thnx ❤

[@jagadishkatam]

The video is very helpful. thank you. I have a question about the max value, in general per the video the max value is 50, but when the max value becomes the outlier then what will be the max value where the whisker will be plotted. Because 50 is outlier, does it mean any value near but less than or equal to 36.5 becomes the max value.

[@jaxx600]

+Jagadish Katam Thank you for your question. In the example you referenced, the maximum value, 50, turned out to be an outlier. However, it is still the maximum value of the data set and will be the end point of the right whisker in the boxplot. We do not dismiss it as the max value because it is an outlier.

[@davidlyash5217]

From my understanding, you can’t dismiss 50 as the max value. That is why we do the spread analysis in the first place in order to determine if our data or sample is skewed by an outlier if there is one present in the data set. And so, that is why we first try to find things such as range, variance, standard deviation and quartiles in order to see if the MEAN is a good representative of the population sample. That’s my inference from my stats class

[@DoH-Shura]

Very helpful

[@ramprakashprajapati148]

I like your voice ... falling asleep...

[@missawesome8244]

Then dog howls

[@ramprakashprajapati148]

🤣🤣🤣

[@ramprakashprajapati148]

You liked it after 2 years ... Why 😅😅

[@ramprakashprajapati148]

Tell me

[@missawesome8244]

my math teacher put this video for assignment so i wanted to see comments

[@jesslorenzana8668]

shes good

[@haripriyacumaraswamy2814]

Yey!!

[@waldoadams1611]

Median does not always = mean (average)

[@rtech8779]

which sofware is this

[@snehabiju9724]

Tnq so much

[@narasimhapuvalla3211]

may be i think its formula 1.5(iqr) is it right?

[@pruthvirajgowda4983]

salute to u madam

[@unamaya4043]

Can both minimum and maximum be outliers?

[@jaxx600]

Yes, you can have multiple outliers - very large, very small, or both!

[@morsmagne]

It was explained well up until the equation to determine outliers. In the video, we are expected to learn the equation by rote, rather than understanding it. I think the video would be better if you explained what you were doing by using a diagram and also giving an explanation as to why the mathematical community accept this method rather than any other alternative. Otherwise, it's mindless.

[@kishataylor6963]

You said it perfectly. I was hoping there would be some explanation not just listing formulas.

[@omgohil6137]

Are you Devasenadhipati's Daughter ???

[@chordsequencer001]

When you test a data point and find that it's "good", can we say that it's "usual"?

[@dharas4114]

Step 3 and step 4 are not correct equation should be [Q1 -1.5 (IQR) , Q3 + 1.5 (IQR)]. But they just did [Q1(IQR) , Q3(IQR)] then got the value set from that. ]

[@uunyoga1242]

is it posible to have all of the data as the outliers? becouse when i do calculate my data, all my data are outside the outlier

[@jaxx600]

No, this is not possible. Perhaps you have a calculation error.

[@uunyoga1242]

hmmb, thank you, i'll check it again,

[@uunyoga1242]

+MathJaxx yes, my calculation was wrong, thanks a lot madam, its help me doing my assignment

[@san2sreshta]

why we use 1.5 while testing outliers.?

[@ModestyisbeautifuL643]

+Santhosh Sreshta dats ma question as well lol

[@jaxx600]

+gole rural We use 1.5 to create an interval. The interquartile range (IQR) represents the middle 50% of the data values. When we multiply the IQR by 1.5, and then add/subtract this value to/from the IQR, we are creating a larger interval around the IQR, that is twice the size. This larger interval is centered (geometrically speaking) around the median. Any value outside of this interval is considered too small or too large and not descriptive of the data set. One can visualize this by imaging the box in the boxplot as a strip of paper that can be cut in half and then opened up like window shutters.

[@JohnnyDoeDoeDoe]

Hi Ms Hu

[@sexbuffet]

hey

[@Dogetuberyt]

4:54 What in the hell