for real though, videos like these are so helpful along with the textbook sometimes even. When professors are explaining it I feel they're going off the top of the head so sometimes its explain oddly and confuses me even further.
This video just made an entire semester of statistics make more sense. Thank you, this information will help out a lot for the final. Much Appreciated!!
What an amazing explanation! I banged my head reading quite a lot, still didn't get it, and watching this video I will remember it forever now! Really great job James! Looking forward to watch more such videos!
I’m on Level 2 of the CFA designation and this blew my mind. Thank you for the clarity and simplicity. I feel like I’m walking away with a better understanding of
I can't believe how simple this was! the brilliance is always in the basics! I've been trying to understand why instead of "thats just how it is" and neither my teacher or my textbook have made sense to me as to why! Thank you so much you made everything click after the coin example!
this is just so great i must appreciate your effor and the simplicity woth which you explained the concept,Thank You so much please continue to make such contributions
This video is of virtue! Degree of reedom is a very hard concept to understand and other internet searches do not help much. I cannot thank you enough for this exceptional explanation.
this is the most intuitive on df, the fact in reality that we never knew value of true population mean, and sd always come after, in most cases n-1 is the reality of our data because as soon as we come up with an estimate of an average' the last piece of information is no longer needed. because that last piece of datapoint violates randomness of data so it has to be tossed out
I completely understood your explanation. Having calculated the mean of the sample, the DOF reduces by one, as the nth value gets fixed. But, why can't I make the same argument for the whole population? Shouldn't DOF for its variance also reduce by one, since we already have the mean calculated? So, by that effect population variance shouod also be divided by N-1 ?
Plz is there an answer to this? Same question here!
5 หลายเดือนก่อน
There is a crucial difference between the population mean and the sample mean; only the latter is an estimate, and it is an estimate of the former. The consequence of this fact is that you lose one degree of freedom when you calculate the mean from the sample data, and that's why we divide by n-1 when the mean we are using is only an estimate, and that's also why we divide by n when the mean we are using is a fixed value calculated by a set of fixed data.
I don't know if you'll ever see this but I have a question that relates to the calculation of sample variance versus population variance, where for population variance calculation, you don't need the n-1 degrees of freedom. Given that you know the mean for the population as well as for the sample and so effectively an n-1 dof, which only 'n-1' not used for the calculation of population variance. And by the way, your explanation of degrees of freedom is absolutely brilliant. Thank you so much for this video
Absolutely brilliant and crystal clear explanation of this concept. Top notch! And the use of the drawing visuals is spot on too, instead of being just a gimic. Hats off to you, Sir!
The way I've been crying over this for 3 weeks and this guy got me to understand it in a 10 minute video
for real though, videos like these are so helpful along with the textbook sometimes even. When professors are explaining it I feel they're going off the top of the head so sometimes its explain oddly and confuses me even further.
This video is fantastic and much needed on the internet. Please carry on making content like this. Thank you so much!
This video just made an entire semester of statistics make more sense. Thank you, this information will help out a lot for the final. Much Appreciated!!
Nothing can beat this way of explaining degrees of freedom. Thank you sir
TH-camrs like you makes TH-cam such a great place! thanks a lot for nice interpretation!
After watching this video, there is a portion of my brain which is unlocked.
An outstanding video James. Bring more videos like this.
This was the best explanation of degree of freedom I have ever seen on TH-cam or any other reading material., thanks Mr James.🙏
What an amazing explanation! I banged my head reading quite a lot, still didn't get it, and watching this video I will remember it forever now! Really great job James! Looking forward to watch more such videos!
OMG! This is the best explanation I've ever heard! Thank you, Mr. Gilbert!
I’m on Level 2 of the CFA designation and this blew my mind. Thank you for the clarity and simplicity. I feel like I’m walking away with a better understanding of
Same for me. Surprised its not really explained anywhere.
AMAZINGLY clear & well-done. You are the best!!!!! Thank you, thank you, thank youuuuuu.
Make so much sense now, I'm really thankful for this video of yours. Thankyou so so much Mr. Gilbert.
I can't believe how simple this was! the brilliance is always in the basics! I've been trying to understand why instead of "thats just how it is" and neither my teacher or my textbook have made sense to me as to why! Thank you so much you made everything click after the coin example!
Best video thus far to explain the concept of "Degrees of Freedom (DoF)" 👍
Incredible content. I can always count on some youtuber to explain something better than the academic course that got me here.
Certainly the best explanation of df I have come across. Thanks for your effort and ingenuity.
you don't understand how happy i am to have come across this video
Amazing Video for conceptual understanding
The best explanation on degree of freedom so far , I really appreciate your knowledge on stat.
Thank you for posting this! Clarifies so much!
After watching 7 videos on degree of freedom...finally got the perfect video....I cant thnx enough man....God bless u
Absolutely BRILLIANT! Thank you!
this info literally made me one step further in life! now I can pass the dynamic lab defend.
Excellent explanation... It got too clear for me now. Thanks.
this is just so great i must appreciate your effor and the simplicity woth which you explained the concept,Thank You so much please continue to make such contributions
the only video on youtube that cleared the topic for me! thank you!
your voice tho!! increases the probability of easier and faster understanding for pretty much any concepts.
the best explanation of degree of freedom, really appreciate
Incredibly intuitive!! Thank you, sir, for such a lucid illustration.
The best of the best explanation of DF. Thanks!
Dude you did a fantastic job . I tried every where but I was not getting the concept . You did it in one go. Really thanks. Apppreciate it.
Nicely explained, simple but effective examples
Man you're just a savior.❤
Best vedio on youtube on this topic. Thanks a lot.
Best explanation on DF ever! Thank you so much.
This video is of virtue! Degree of reedom is a very hard concept to understand and other internet searches do not help much. I cannot thank you enough for this exceptional explanation.
man you should make video a lot about statistics,the way how you explain the thing is really simple and good
I loved it, thank you so much! Really impressive how you put it so simple
I read the comment first, then watched the video - I was not disappointed. This guy is good.
W
Tremendous video; the best video
Very clear explanation of DF, Thanks, James ! :)
That was beautiful.
just simply wonderful explanation
I watched a few videos and only yours helped me understand the concept. I like graphics!
super Excellent video
extremely well-explained! Thank you James.
This is the best video for Degrees of freedom.
Its really great and easy to understand.
Thank u so much!!!! STAY BLESSED!!!!
This is one of the best explanation👋
Excellent content.
excellent illustration and explanation of the topic, kudos
3 hours of complicated over explained knowledge, condensed down into a 10 minute video. Thank you!
Beautifully explained! Now it makes 100% sense why Variance and Standard is divided by N-1 instead of N.
Amazing...
Great video! Thank you
This is very helpful. I teach an introductory stats class and this will help me explain df to my class.
Fantastic your video! It is the explanation I exactly looked for to show my students
this is the most intuitive on df, the fact in reality that we never knew value of true population mean, and sd always come after, in most cases n-1 is the reality of our data because as soon as we come up with an estimate of an average' the last piece of information is no longer needed. because that last piece of datapoint violates randomness of data so it has to be tossed out
Best explanation
By far the best explanation in You tube
this video should have 119 BILLION views, literally, thank youuuu
best explanation so far,
Thank you for this video.
Great video 😊
Thank you. 20 years after leaving college with a B- in statistics, I finally got an idea what "df" is. Thank you.
very good..thanks James!
I completely understood your explanation. Having calculated the mean of the sample, the DOF reduces by one, as the nth value gets fixed.
But, why can't I make the same argument for the whole population? Shouldn't DOF for its variance also reduce by one, since we already have the mean calculated? So, by that effect population variance shouod also be divided by N-1 ?
Plz is there an answer to this? Same question here!
There is a crucial difference between the population mean and the sample mean; only the latter is an estimate, and it is an estimate of the former. The consequence of this fact is that you lose one degree of freedom when you calculate the mean from the sample data, and that's why we divide by n-1 when the mean we are using is only an estimate, and that's also why we divide by n when the mean we are using is a fixed value calculated by a set of fixed data.
I love your explanation and the examples you gave. Thank you for your help 😊
Thank you for the easy explanation!!!
the best and easiest explanation ever
Great video.
The best explanation on youtube.
This is amazing!
I paid thousands of dollars for my tuition and ended up searching video tutorials here...I hope every professor can make things clear in this way
I don't know if you'll ever see this but I have a question that relates to the calculation of sample variance versus population variance, where for population variance calculation, you don't need the n-1 degrees of freedom. Given that you know the mean for the population as well as for the sample and so effectively an n-1 dof, which only 'n-1' not used for the calculation of population variance.
And by the way, your explanation of degrees of freedom is absolutely brilliant. Thank you so much for this video
Excellent!!
Thank you!!!! I was SO confused by my textbook and I finally get it!
Fantastic explanation!
Thank you! This was very helpful and straight to the point :)
This video is world-class. The likes to dislike ratio says it all!
Best description I've seen so far.
Wow! Great content. Thank you.
Absolutely efficiently and clearly explained! Thank you!
Excellent explanation. Thank you
Simplicity at it's best, I wish I had known this video when I was still at college 🙏
This really helped me have a better grasp, thank you!
This video made me understand this concept well. Thank you!
Awesome explanation!
beautiful explanation man. Thanks!
This video is amazing
Very nice explanation, thank you
Good video. Thank you!
Very well done, thank you!
Wonderful
excellent explanation
Absolutely brilliant and crystal clear explanation of this concept. Top notch! And the use of the drawing visuals is spot on too, instead of being just a gimic. Hats off to you, Sir!
this is the best video on the internet!
Very nice explained
awesome!😀