I think it would be useful if the description had a link to the playlist for the chapter. That way you could go directly to the start of the chapter if you stumble on a lesson by chance. And it would be easy to save it for later reference.
Great presentation. X and Y are paired datasets, meaning they must be the same size and ordering is important i.e. the ith values of each set are paired. e.g. each pair represents the SBP and DBP of an individual, or e.g. they are the counts of hurricanes at 2 locations over a period of 5 years (the connecting object is year).
oh i thought it was about the covariance and contra-variance in electrodynamic and relativity, i was so excited. anyway this is also good to know, thx sir
I also would like to see this. I've been watching DrPhysicsA vid 'Einstein's Field Equations for Beginners' & making flashcards so I can test myself everyday with a memory boosting software called SuperMemo. It's a good video but he only touches briefly on some areas. & when I tried others eg the Leonard Susskind videos he recommended I found them confusing with occasional fascinating insights eg Susskind said: _"We see that, in general, the source of the gravitational field is not just energy density, but it can involve energy flow; it can involve momentum density & they can even involve momentum flow. Now as a rule, the momentum flow or even the energy flow, certainly the momentum flow but even the momentum density, are much smaller than the energy density."_ _"Why do I say that? It has to do with the speeds of light in the formulas. If you put the speeds of light into the formulas, just like energy is always huge because it gets multiplied by: c² but on the other hand momentum is typically not huge because it's just mass times velocity, so velocity is slow if you're in the non-relativistic situation, when velocity is slow, energy is big; energy density is by far the biggest thing, the other components of the energy momentum tensor are much smaller typically decreased by powers of the speed of light."_ 1:14:48 of the YT vid 'General Relativity Lecture 9' from 11 Dec 2012 (not the 2009 video) This confirms what I have long suspected: that my farts are so powerful they warp the very fabric of spacetime itself.
Hi sir i have some question how do i find le coefficient de corrélation linéaire entre et X et Y whene i have Une de Y en X d’équation : y = 0.8x + 1. L’autre de X en Y d’équation : y = 1.3x - 1.
please upload video for solve the following problem : The wave function of particle trapped in an infinite square well potential of width 2a is found to be : epsi (wave function )= c ( cos pi x/2a + sin 3pi x/a + 0.25 cos 3pi x/2a ) inside the well , = 0 outside the well (i) Calculate the coefficient C (II) If a measurement of the total energy is made , what are the possible results of such a measurement , and what is the probability to measure each of them ?
@@MichelvanBiezen i saw it . it is very very excellent , you are really wonderful . but i have inquery for my problem : is : c = sqrt (1/a) ? is : pi x / 2a = n pi x / 2a and then n =1 ? is : 3pi x /a = n pi x / 2a and then n =6 ? is : 3pi x / 2 a = n pi x / 2 a and then n =3 ? is p (at n =1) =(1/a) inegral from a to - a ( cos ^2 pi x / 2a ) dx = 1/a * a = 1 ? is p (at n =6) = (1/a) inegral from a to - a ( cos (pi x / 2a )* sin (3 pi x/ a)) dx = zero ? is p (at n =6) = (1/4a) inegral from a to - a ( cos (pi x / 2a )* cos (3 pi x/ 2a)) dx = zero ? please tell to me my solution is true or false ???? Thank you very very much my sir
It is a mathematical limitation. The only way it can be one is if the two sets of the individual variables are equal. Anytime they are not equal the correlation coefficient will be less than one. Try it and you'll see.
That is a GREAT question. When you consider the WHOLE population then you divide by N. But when you only have a sample of the population, then you divide by N-1
@@MichelvanBiezen thx sir, if I randomly create datas with my own, which formula should be used ? and for small number N, can answer be different for covariance ? for example for N , negative and for N-1 positive ?
@@MichelvanBiezen thx again. for small number N = 10 , does it affect the result much ? for example for N-1 ; negative convariance, for N , positive convariance ? is there any confliction similar to this for small number N ?
