Sir u r great,sir yesterday was my exam one of the example on chi sqare test u taugt was in paper containing 10 marks,.i want you to thank for all ur valuable efforts..love from kashmir
at 22:26 ,if we use mean as a estimator then an error of 3 would occur with probability 0.1? Since Population mean is 9 so 9-6=3 ,am I correct here sir?
One thing I didn't understand is in CLT, random samples are drawn from non normal observations, then how X¬N(mu, sigma^2)? It should be any distribution but Normal distribution and then on applying CLT, it approaches to N(mu, sigma^2/n)
THESE Lectures make u feel that , u r learning from god of stats, sir i wish u good health and wishes
Education is easy because of teachers like u exist.
Nice concepts, I am a teacher of Actuarial Science and these video is a good learning for my students as well.
are you a professor at RGGEC
Sir u r great,sir yesterday was my exam one of the example on chi sqare test u taugt was in paper containing 10 marks,.i want you to thank for all ur valuable efforts..love from kashmir
I just wanna say I go to a school like MIT and this is the best lectures I have seen!
MIT Cambridge ?
@@arshdeepsinghbhankhar4190 Meerut Institute of Technology
@@arshdeepsinghbhankhar4190 😂 Manipal Institute of Technology
Yes I go to IITD(Dholakpur) and this lecture is amazing
Wht is Special abt mit s?
great lecture sir, this is quality content
Thanks for it....
Thank u sir .. i understand why we study stat after study probability. 🎉
at 22:26 ,if we use mean as a estimator then an error of 3 would occur with probability 0.1? Since Population mean is 9 so 9-6=3 ,am I correct here sir?
yes
0.1+0.1=0.2
error 3 will be 6 & 12 with .1&.1 ; p will be .2
yes he is confused and i am also getting confused
Which is are you using
22:30 error of 2 should occur, with probability 0.4? am I right? I didn't get how you got error of 3 with probability 0.2!!
Here for the error of 3, we have (9-6=3 & 12-9=3 (absolutely)) with probability (0.1(for 6) +0.1(for 12) )=0.2.
you are my saviour in semester❤
what application are you using sir for writing?
In central limit theorem u said x follows non normal then normal
One thing I didn't understand is in CLT, random samples are drawn from non normal observations, then how X¬N(mu, sigma^2)? It should be any distribution but Normal distribution and then on applying CLT, it approaches to N(mu, sigma^2/n)
correct me if i'm wrong but i think the distribution of x̄ approaches a normal distribution, regardless of the shape of the population distribution
simple way to explaining the concept
Many thanks
I need ur help sir
Well explaining sir
Sir is there any playlist for Statistics from starting to end??
Probability & Statistics: ua-cam.com/play/PLO-6jspot8ALyrofp0fWp0fOb19NcFS4V.html
❤️ from Pondicherry University
Your really great sir..... 🙏
nice sir. U re an intelligent man
Thanks dear ... Keep watching other videos too and share with your friends, students
order statistics T F and chi distribution pai video mil jati toh bahut help hota.
T and Chi square distributions are already available at my channel... Browse and watch
Love from bangkok 😅
Last example m ye kese pata chala ki normal distn h
great sir.....!!!!
Nicely explained
Thanks for liking
Sir pdf send krdo statistics Ke....prep krna easy Ho jata
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You are not paying a penny to learn from his videos. at least he should earn from advertisements.
@@nishantsingh5385 agree bro