Quartiles, Boxplots, 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

[@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

[@shreeyanshshahi5064]

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

[@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!!!

[@paristruman676]

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

[@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 !!

[@KhaledTheSaudiHawkII]

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

[@7Ties]

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

[@jasminekhattra4951]

Lol the dog was the best part

[@saswatabhattacharya5187]

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

[@hoseahphilan8559]

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

[@Cmac.9411]

4:55 that was amazing

[@mohammedalshen3147]

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

[@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.

[@nikhil4sharma]

4:55 when the EARTH STOOD STILL

[@heezoibeid]

Thank you so much! excellent video

[@missawesome8244]

The dog carried the video 😌

[@sheenajohnson5024]

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

[@atakojackylucky7923]

thank you very much may god bless you

[@mtinbayram7179]

Year 2023 but still best

[@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.

[@augustayarteh7524]

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

[@cupcakeoly122]

GO ON 4:55 that's when it howls

[@quangtungpham4204]

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

[@zakkennedy1173]

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

[@smithmarta]

Excellent video!

[@jeffreygreig3336]

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

[@israrkhancil]

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

[@waldoadams1611]

Median does not always = mean (average)

[@swarnabhagrawal9211]

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

[@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. ]

[@singh1441]

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

[@narasimhapuvalla3211]

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

[@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

[@Romailk1]

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

[@threat_zm7197]

Cheers mayo 🙌

[@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

[@cyrillehounvio7638]

Excellent video

[@peppermint381]

simple and to the point, thank you :)

[@hsankram1637]

very nice, thants

[@NVAKADATIRUMALARAO]

awesome

[@leighlinaga3629]

Thank you for your lesson!

[@waltarman2569]

Thank you great helpful video!

[@omgohil6137]

Are you Devasenadhipati's Daughter ???

[@shahrajm]

good and concise to refresh concepts.. :)

[@ModestyisbeautifuL643]

great video

[@innocentsoul6352]

amazing video really its help me alot

[@narasimhapuvalla3211]

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

[@jesslorenzana8668]

shes good

[@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.

[@amyamonet1366]

Omgg thank u so much this is so helpful!!

[@rtech8779]

which sofware is this

[@gehanharbi5140]

Really useful thanks

[@snehabiju9724]

Tnq so much

[@KenechukwuEzekwem]

Thanks

[@Rezayath]

Thank you so much

[@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

[@harishbabuk.s4344]

thats as awesome explanation...

[@unamaya4043]

Can both minimum and maximum be outliers?

[@jaxx600]

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

[@docniemo4713]

Great!

[@DoH-Shura]

Very helpful

[@chordsequencer001]

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

[@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.

[@muhammadmesum2846]

Thanks, means a lot...

[@talsiyabi93]

Thnx ❤

[@pruthvirajgowda4983]

salute to u madam

[@haripriyacumaraswamy2814]

Yey!!

[@Dogetuberyt]

4:54 What in the hell

[@JohnnyDoeDoeDoe]

Hi Ms Hu

[@sexbuffet]

hey