@@statswithbrian Yes! I love keynote. Way better than powerpoint. And it does real equations. Anyway - I thought you did a great job with this video and can't wait to see more.
“Not too many things can be above average or else the average will be higher than we know the average actually is.” I think most people (including me) think they are above average in general (life) but it makes sense that we aren’t. Markov’s inequality could be use as a self assessment tool which I think is cool
Loved the way you intuitively derived the Markov Inequality. In my opinion it is much better than the proof given in the Introduction to Probability book by Dimitri and John. Thank you very much.
Compare this with the MIT lecture on the same topic and decide for yourself what is more intuitive ruclips.net/video/vjYanZ1nsZg/видео.html&ab_channel=MITOpenCourseWare
So at the beginning you said you couldn't use values of degrees celsius as a random variable but why not? In the video it is said that the values must have a minimum value hence they should be non negative so they always have a minimum of 0, but degrees celsius do have a minimum value (the absolute zero) even though they are real numbers.
The requirement is not that the variables have to have *any* minimum - the minimum has to be 0 (the variable has to be non-negative). That's why we could only use Markov's Inequality for degrees Kelvin, because the minimum actually would be 0. For Celsius, since it is possible to be as low as −273.15, Markov's inequality would not work.
Markov’s inequality requires a non-negative random variable. If you know the variance, you may be able to use something like Chebyshev’s inequality, which gives an upper bound on the probability of being far away from the mean. Chebyshev’s inequality requires you to know the variance.
This is awesome!!! TRIPLE BAM!!! :) I watched the whole thing and was mesmerized.
Thank you! I'm so glad I found your video on how you make yours - I never used Keynote before and it is great! Thanks for the inspiration! :)
@@statswithbrian Yes! I love keynote. Way better than powerpoint. And it does real equations. Anyway - I thought you did a great job with this video and can't wait to see more.
@statquest I DID remember you when I heard the intro
“Not too many things can be above average or else the average will be higher than we know the average actually is.” I think most people (including me) think they are above average in general (life) but it makes sense that we aren’t. Markov’s inequality could be use as a self assessment tool which I think is cool
Very well said, sir.
Perhaps the best video on this topic.
Thank you!
Excellent video. I finally understand Markov's inequality with this example. Thank you!
This made a ton of sense! Way easier to understand than my professor.
The BEST explanation of Markov's inequality I've ever seen! Thanks!!!
Mind-blowing. This is how Math should be explained. Thank you.
Such a good explanation!! This deserved to be seen to be more people!
6:34 I get the feeling that this is impossible
but great video, thanks!
lmao, editing is hard, thanks for watching far enough to notice :)
Loved the way you intuitively derived the Markov Inequality. In my opinion it is much better than the proof given in the Introduction to Probability book by Dimitri and John. Thank you very much.
very underrated video. your explaination was awesome.
that's a fantastic visual explanation... you are about to become very popular amongst statistics students worldwide
you're a true hero, i have no other words
Thank you sir! This is the clearest explanation I saw.
Thank you so much for this video!! It is so fantastic! So easy to understand in a very interesting way
Amazing explanation with great examples.
great explanation sir, thank you.
AMAZING explanation!
Commendable explanation Brian.
Thank you so much! this is so intuitive and funny
A bring me the horizon music video led me here in a series of coincidental events LOL 😅😂 enjoyed this video though
That's an awesome explanation
Very helpful!
this is very helpful, thank you so much ❤
Compare this with the MIT lecture on the same topic and decide for yourself what is more intuitive
ruclips.net/video/vjYanZ1nsZg/видео.html&ab_channel=MITOpenCourseWare
Absolutely brilliant
Wow, I can't believe Markov's Inequality walls just makes the rich get richer.
The pareto distribution would be interesting for you
You are amazing 😇, thank you so much!!
Great explanation
i would like to see more videos on statistics and probability from you
Great video! Thxxx!!!
wow! mad mad respect!!
Loved this. Thank you :)
Thanks! :)
So at the beginning you said you couldn't use values of degrees celsius as a random variable but why not? In the video it is said that the values must have a minimum value hence they should be non negative so they always have a minimum of 0, but degrees celsius do have a minimum value (the absolute zero) even though they are real numbers.
The requirement is not that the variables have to have *any* minimum - the minimum has to be 0 (the variable has to be non-negative). That's why we could only use Markov's Inequality for degrees Kelvin, because the minimum actually would be 0. For Celsius, since it is possible to be as low as −273.15, Markov's inequality would not work.
insane explanation
Great explaination.
excellent lecture
Wonderfull...
Thank you sir :)
Its giving a hint of Heisenberg uncertainty principle
beautiful!
Master piece
What happens if X is a random variable that takes negative numbers?
Markov’s inequality requires a non-negative random variable. If you know the variance, you may be able to use something like Chebyshev’s inequality, which gives an upper bound on the probability of being far away from the mean. Chebyshev’s inequality requires you to know the variance.
Bhai bohot jaldi mein hai tu...Panvel nikalna hai kya?
0.75x speed might help for this one
So much easier to understand than some boring blak board video.
mathematical class consciousness
😂