Комментарии:
Thank you so much
ОтветитьUseful quote from wikedpia about whiskers:
whiskers []are based on the 1.5 IQR (InterQuartile Range; ie the length of the box) value. From above the upper quartile (Q3), a distance of 1.5 times the IQR is measured out and a whisker is drawn up to the largest observed data point from the dataset that falls within this distance. Similarly, a distance of 1.5 times the IQR is measured out below the lower quartile (Q1) and a whisker is drawn down to the lowest observed data point from the dataset that falls within this distance. Because the whiskers must end at an observed data point, the whisker lengths can look unequal, even though 1.5 IQR is the same for both sides.
That's how educational videos should be, to the point and concise, no useless blabbering !
Ответитьthanks this was very helpful
ОтветитьI have applied statistics course in my Master of data science. I have to say that watching 2 videos of you in 16 min made me understand perfectly 3h of lecture at University. Thanks for the Video. Keep it up😊
ОтветитьWhere's the q2 in this video?
ОтветитьVery much informative video
ОтветитьThank You !! Very short , Informative and Excellent explanation!
ОтветитьSuper helpful. I love your presentation.
Ответитьnailed
ОтветитьA good video with an easy explanation for interpreting box plots however, silly example using the cliché men and women pay gap.. I know it was just an example but the pay gap does not exist. The pay gap is based off an overall statistic for the average pay of men and women. It is a multivariate equation as to why women earn less then men (on average). The first reason is the majority of men work in STEM related fields which earn more money whilst women tend to focus more on fields that work with people e.g. nurses, vets etc. Women can absolutely enter into STEM related fields but because of personality differences, not as many women do. Maternity leave is another factor that contributes to women being paid less. If you think about it, lets say for argument sake that the majority of women at some point will have a child at some point in their lives, that is 9 months without pay for every single woman who bares a child. There are many other variables as to why this so called "pay gap" exists but lets be clear it is not because men have some kind of unfair advantage, that is just victim mentality plain and simple.
ОтветитьVery well explained.
ОтветитьVery nicely explained. What does the length of the whisker signify? If the lower whisker is lesser in length, than the upper whisker , then what does that mean ?
ОтветитьI need the codes
ОтветитьSo useful :)
ОтветитьYour website is amazing !!
ОтветитьOh my God! Why can’t professors put as easily as you just did? Thank you so much! And thank you for the link to the data calculator!!
ОтветитьYou are a life saver. I am a computer science student and i've never done anything with data or statistics but I got a competition tomorrow. You're a life saver
ОтветитьVery well explained...thanks a lot...
ОтветитьThanks! Easy to understand and clear ☀
Ответитьty
ОтветитьThank you. I was confused why the whiskers were not the same length, but now I understand that one can indicate 1.5xIQR, while the other might show min/max value if there are no outliers.
ОтветитьGreat! Thanks :)
ОтветитьThank you so much
ОтветитьGreat video, good explanation! Thanks :)
Ответитьexcellent presentation. Thank you
Ответитьthanks for explaining it in the easiest way
ОтветитьThe salary of Men and women representation isn’t necessary. Could have used another representation. But good work
ОтветитьVery Nice explanation. Thanks
ОтветитьNicely explained!!!
ОтветитьThe video did not helo me that much but tnx anyway
ОтветитьAs a medical student who has to take statistics in order to graduate, thank you so much. This video is a life saver. I really cannot express in words how grateful I am. A year of classes and I barely grasped the concepts of variables, but two minutes made it all finally make sense
ОтветитьHi. It was a great lesson. What is the minimal number of variables to use a box plot graph? Is it 'the more data the better' rule like in histograms? Best wishes.
ОтветитьEasy to understand and well explained. Thanks
ОтветитьToday is a happy day for me as I finally grasped this, which I thought to be a very hard-to-understand chart. Thanks for the great explanation and tooling!
ОтветитьGreat mam.
Ответитьthank u so much! this was so easy to understand
ОтветитьWell explained. Simple and intuitive
ОтветитьSimply say, amazingly explained
ОтветитьVery Well Explained. Thank you.
ОтветитьThanks alot
Ответитьbruh, this is teaching me better than my lecturers
ОтветитьThank you so much!!!
ОтветитьThank you 😊 it helped alot ❤️
ОтветитьThank you so much for this great video. I understand a lot better.
ОтветитьThank you, this was really comprehensible
ОтветитьThank youuu
ОтветитьSuperb. Thank you so much for this video
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