I'm just gonna solve it on my scratch pad. Let's get some practice calculating interquartile ranges and I've taken some exercises from the Khan Academy exercises here. ![]() (Deskriptive_Statistik) (my definition used) ![]() But keep up the good work! Everyone makes mistakes and only from them we learn and better ourselves! D There seem to be enough problems in understanding statistical methods as it is. ANd since there seem to be many misunderstandings with the mathematical theory behind it I think the time and sweat to learn it is better spend elsewhere. PPS: I really don't get why the IQR is tought in the 6th grade since even bachelor-graduates don't use it that much in most cases. But it doesn't mean you should repeat it. PS: I know you are not the only ones that are making this mistake. So please please plaese make a new video in which you at least aknowledge that there are different definitions of the IQR and in your case even the Quantiles(Or here Quartiles which are the 0.25-, 0.50- and 0.75-Quantiles particularly) Now I know that the IQR is defined differently from field to field, but as far as I know the quantile function x_p is defined the same for all fields of science or at least in statistical mathematics, so how come you are using it so inconsistently?Īnd as far as I experienced it "my" method and the method in the video will get the same results more often than not but here it's inconsistent.Īlso just as a sidenote: The algorithm at gets another IQR of 7 for that data set. With that I would get a IQR=Q_3 - Q_1= 12-6=6 I learned that a p-quantile for any number 0 ![]() I have a feeling, that many people who use the IQR or guantiles in general don't really know how to get them or what they are.
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