This is concise. You dealt with 5 measures of variability in a short video with their explanations, formulae and examples. Thank you. We need more videos from you.
Great explanation . Nicely explained with most appropriate examples. Hope u will make videos on all statistics topics like regression and correlation with nice examples and derivation of formulas too. And yes keep uploading videos on topics with your full dedication and one day you will find traffic on your channel. Once again thanks a lot.
Very well explained !!! Loved the clarity and the flow. Awesome :) Could you please do a video on hypothesis testing. I am sure it will be equally good and very helpful !
square root of 0.5 is 0 .7 .. I paused and did calculation myslef :) great explanation on the important concpets, please add more in the series. Thanks.
Hello Professor, thank you for this brief and concise explanation of variability. You are correct in that there is already an abundance of statistics videos on RU-vid and finding the right one that makes sense to you is very difficult. This one was very easy to follow along. Another subject that is somewhat difficult to grasp is Chebyshev's theorem, the empirical rule, and z-scores. Perhaps you can post a video on these subjects.
+Felicia Ingram Hi Felicia, many thanks for your very friendly comments! ... your feedback actually got me started thinking about reviving this channel. ;o) Producing a video likes this takes actually quite a bit of work. As I am doing them mainly in my own time I only now an then get to do one. So - in case you have any suggestions in terms of what you would find most helpful please let me know - it will help me a lot to prioritize! Best, Mathias
Hi Mathias, Really a great video with explaining the need of finding those variable measures.. just if it helps for your future videos, your video explains why do we calculate compared to other video only tells how to calculate.. Continue the great work, few suggestions for your next videos Regression, Decission Tree, Ensemble Methods, Singular value decomposition, Ensemble method #Brief Tutorial Statistics
Hello Siddharth, thanks for commenting, your input and video suggestions! I'd greatly appreciate if you could share my videos - if I get more views I will be able to pick up production again (which I was not able to do over the past few months because there is barely any traffic on my English channel). Take care, Mathias
thank you for this upload. please continue uploading videos. need to learn more on statistics. need to know which statistical tool is used in which condition. please continue uploading.
Hey, great video. BUT ONE CONFUSION. You stated that we prefer calculating the Variance instead of the Mean Absolute Deviation (MAD) because "using the Absolute Value in calculations is fairly inconvenient as it always requires a case-by-case analysis". HOW? How does this require a case-by-case analysis? Are you referring to the task of flipping all the negative signs to positive signs? Please explain
I really like your practical example sir would you add some videos on RU-vid about quantitative tools for research if you have done then please upload ,I shall be very thank full to you regarding this matter.
Could you suggest me some good books that you referred to wherein I may find the similar explanations as you provided in your video. I am an undergraduate and want to learn about statistics and probability in best possible manner. Thanks
Why not take the square root of just the numerator (and then divide by n) while calculating the standard deviation? Why take the square root of the WHOLE thing?
Hello, many thanks for your messages! "Measures of central tendency" is an alternative term for "Means": ru-vid.com/video/%D0%B2%D0%B8%D0%B4%D0%B5%D0%BE-kfEuqcA6vYw.html ... best of luck!