I'm going over and over all these lectures making sure I don't skip a thing. This is by far the best video series I have ever watched, paid and free. This tops them all. You have no idea how amazed I am by you and everything you do and stand for. Thank you so much!!
Thank you so much for your kind effort and genuine care to help others learn!! I hope my final goes well, and thanks to you, I think an A just might be possible :)
I have learned a lot from your videos. Thank you so much for your time and effort. Your personality is very inspiring. Wishing you too all the best, in all things: )
All the videos in the series are Simple to understand and very nicely presented..Hats off to you Brandon...The only problem is I am unable to know on what order I have to see the videos. I have open a video and wait what you say in the beginning like " In the Previous Video we have seen this and that etc.". So some kind of numbering the videos will be of immense use to learners like me. Secondly I also want videos on Structural Equation Modelling..Thanks a lot for posting such wonderful videos.
I think the video would be clearer if, instead of “monthly return,” “percentage change” were used. Nevertheless, Iove these videos. I don’t know how I could learn this stuff without them.
I have a questions as to when you are placing the values of population interval on the curve, shouldn't they supposed to be flipped? The value corresponding to X(0.95) is 74.55 should be on the left and vice versa for X(0.05)? I am confused and need your help.
Hi Brandon .. excellent videos.. i would like to check if you would have any videos on to statistically targets for a project. This will be useful to understand. Thank you again n keep up the gr8 work.
The chi-squared curve is described as “asymptotic” because it never touches the x axis. I submit that it is a horizontal asymptote. The nature of an asymptote is that it approaches, but never touches, a specific line.
So the Chi Square distribution only applies if the population distribution is normally distributed, correct? If the monthly returns on stocks did not follow a normal distribution, we would need to use a different method to calculate the confidence interval?
Very good video (as with the others I have watched of yours). I am a bit confused about your example with the GE and Apple stocks. You say that the Apple stock has a higher variance, but isn't it true that it is not statistically significantly higher (at least with the initial sample size), since the two confidence intervals overlap?
Because what will make it different is the critical values (chi square critical values) ... the critical values will not be the same ... so accounting for its skewed shaped (non symmetric).
Yiqing Wang Hello! Not exactly clear about your question, but the sample mean is just the average of the sample. However in general, variance decreases as the sample size increases.
***** thanks for your prompt reply. Sorry for the confusion. @ 32:07, WHEN n=12, GE s^2 = 25.89, my question is that as N changes, should S^2 also change, or it is just an assumption that it stays the same? Thanks you!
Yiqing Wang Ahh yes! OK. In this section we were holding s^2 constant to show the effects of sample size on the interval. So for the sake of learning about the effect of sample size we held s^2 constant. Hope that helps!
![[TH] VALORANT Champions Seoul - Grand Final - EDG vs TH](http://i.ytimg.com/vi/WvObMc9VelI/mqdefault.jpg)
Brandon - YOU are a smart, talented, amazing person! We are so appreciative of everything you do! 🙏🏼💙
I'm going over and over all these lectures making sure I don't skip a thing. This is by far the best video series I have ever watched, paid and free. This tops them all. You have no idea how amazed I am by you and everything you do and stand for. Thank you so much!!
Such a smart guy with a good heart💙
Thank you so much for your kind effort and genuine care to help others learn!! I hope my final goes well, and thanks to you, I think an A just might be possible :)
nice job explaining those concepts, you are very clear
I have learned a lot from your videos. Thank you so much for your time and effort. Your personality is very inspiring. Wishing you too all the best, in all things: )
Good and interesting video. Clean and simply slide design too
Thank you very much, man, your work is impressive!
This guy sounds so much like Seth Rogan i cant even concentrate on the lesson!
I love Seth Rogen
thank you for your inspiring words in each video
I have faith in you as well! :-)
+Bas van Dijk I'm glad someone does! :) I'll take it.
All the videos in the series are Simple to understand and very nicely presented..Hats off to you Brandon...The only problem is I am unable to know on what order I have to see the videos. I have open a video and wait what you say in the beginning like " In the Previous Video we have seen this and that etc.". So some kind of numbering the videos will be of immense use to learners like me. Secondly I also want videos on Structural Equation Modelling..Thanks a lot for posting such wonderful videos.
Thank you!
I think the video would be clearer if, instead of “monthly return,” “percentage change” were used. Nevertheless, Iove these videos. I don’t know how I could learn this stuff without them.
Same doubt I also got.. True
I have a questions as to when you are placing the values of population interval on the curve, shouldn't they supposed to be flipped? The value corresponding to X(0.95) is 74.55 should be on the left and vice versa for X(0.05)? I am confused and need your help.
u have been of great help
Hi Brandon .. excellent videos.. i would like to check if you would have any videos on to statistically targets for a project. This will be useful to understand. Thank you again n keep up the gr8 work.
The chi-squared curve is described as “asymptotic” because it never touches the x axis. I submit that it is a horizontal asymptote. The nature of an asymptote is that it approaches, but never touches, a specific line.
Thanks
Tak!
Very Helpful
thanks alot man, that was quite helpful
Amazing!!
Thanx!!
Just a question mate: why does the accumulative probability run from right to left in X^2 distribution? Thank you.
same question!!!!
So the Chi Square distribution only applies if the population distribution is normally distributed, correct? If the monthly returns on stocks did not follow a normal distribution, we would need to use a different method to calculate the confidence interval?
Thanks, another related question is following: is it possible to compute the exact p-value of an estimate given the confidence interval?
Can you explain why interval estimate for variances are sensitive to normally distributed population????
if the population from which we are drawing samples is not normal population, will the sample variance still follow chi-square distribution?
Can you make a playlist on quantitative finance as well?
Very good video (as with the others I have watched of yours). I am a bit confused about your example with the GE and Apple stocks. You say that the Apple stock has a higher variance, but isn't it true that it is not statistically significantly higher (at least with the initial sample size), since the two confidence intervals overlap?
If the Chi-Squared distribution is not symmetric, why is the 5% p-value divided into 2 equal parts?
Because what will make it different is the critical values (chi square critical values) ... the critical values will not be the same ... so accounting for its skewed shaped (non symmetric).
Variance of amount of likes i've given each of your videos that i have viewed: 0. mean: 1.
What if the dfs are different?
thanks...
when the sample size changes, should the sample mean changes also?
Yiqing Wang Hello! Not exactly clear about your question, but the sample mean is just the average of the sample. However in general, variance decreases as the sample size increases.
***** thanks for your prompt reply. Sorry for the confusion. @ 32:07, WHEN n=12, GE s^2 = 25.89, my question is that as N changes, should S^2 also change, or it is just an assumption that it stays the same? Thanks you!
Yiqing Wang Ahh yes! OK. In this section we were holding s^2 constant to show the effects of sample size on the interval. So for the sake of learning about the effect of sample size we held s^2 constant. Hope that helps!
***** Yes. Thank you very much! You are an excellent teacher!
😮🤯
simple*
gel ankaraya misafirimiz ol hayatımı kurtardın sen benim
I LOVE YOU KRAL