Hey. Thanks a lot for the video. It is very helpful. I nevertheless have a question. As I understood: the outlier is regarded as an error and therefore not shown as the lowest value. However, its influence on Q1, Q2 and Q3 are still present, right? If we really threw it out, we would calculate a whole different box and whiskers plot. Shouldn't we be using such a new one?
It's still part of the data. In labeling a datum an outlier, we're not saying it was an erroneous measurement; we're saying it doesn't have as much predictive power as the rest of the data.
thanks , but how do we deal with duplicated data? in this scenario for instance. Consider the following set of data; 0.87, 0.88, 0.91, 0.92, 0.86, 0.91, 0.90, 0.93, 0.82, 0.89, 0.87 Construct and interpret a box-and-whisker plot for this data
I'm in an online class right now. You explained it much better in less than five minutes than they did. THANK YOU!!
I just found you and you explanation is better than my teachers 😸.
Direct and short explanation, clear, very concise. That's just too perfect for a free video. Thanks!
Glad it was helpful!
That's the video I was looking for. Informative and cut-to-the-chase. A deserved thumbs up.
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the best vid on this specific topic so far, seen a couple. big up!
Awesome video. Brief and lots of info. Thank you!
Glad it was helpful!
Hi, great video, why do we multiple by 1.5 ? and not any other number.
it's a law
@@diax7831 but why
@@slim6476 MATH
@@ookeybookey7955 yes but why
@@slim6476is just a law, there is no why. I’ve been studying Statistics GCSE for a while, still don’t know why multiply by 1.5
Straight to the point
So if 60 is an outlier, do we take it out of the plot and just put a point there? And change the lowest value to 82?
Good video, well explained, thank you.
Glad it was helpful!
You explained this perfectly. Thank you 😊
Glad it was helpful!
One of the most beautiful explanation❤
I’m glad you found the explanation helpful!
I wish you were my teacher in my school!
Thank you so so much, saved me once again
Glad it helped!
Hey. Thanks a lot for the video. It is very helpful. I nevertheless have a question. As I understood: the outlier is regarded as an error and therefore not shown as the lowest value. However, its influence on Q1, Q2 and Q3 are still present, right? If we really threw it out, we would calculate a whole different box and whiskers plot. Shouldn't we be using such a new one?
It's still part of the data. In labeling a datum an outlier, we're not saying it was an erroneous measurement; we're saying it doesn't have as much predictive power as the rest of the data.
question: why do you multiply 1.5 by the IQR?
Idk a guy just mad that up I forgot his name though
Correction we do that to see if we have any outliers
thanks , but how do we deal with duplicated data? in this scenario for instance. Consider the following set of data;
0.87, 0.88, 0.91, 0.92, 0.86, 0.91, 0.90, 0.93, 0.82, 0.89, 0.87
Construct and interpret a box-and-whisker plot for this data
Great video, thank you very much!!!
Finally I get it!!
doing god's work. keep it up
Glad you like my videos!
youve saved my biostatistics exam
Very helpful
THANKS I needed this
where does 1.5 come from?
Nice explanation. Why do we multiply by 1.5
Did you find logical answer?
@@_0920SSNN no
thank you 👍
Welcome 👍
Great video , thank you
Thank you!
Thank you so much sir!
Thank you
Thanks
You're welcome!
Thankyou sir.
Most welcome
Could you please post the formula down here?
birlliant thx much
Bet Mario won't pin this comment
MR JHONNY
مشان الله لاقولنا ال mean !