I dont know why but there has to be some examples to be solved to prove and get the better understanding of the equations he is putting up. Otherwise it a awesome series.
徐凌 The material is hard to get through, especially for those who lack the mathematical background (which is most of the general public or even the college going population). This ain't a 2 blue balls and 3 red balls in a box what is the probability that I pick a red ball kind of course.
@@Maeda_Toshiie So your boss assigns you a problem: estimate the conditional probability of one going through the whole MIT probability lectures given that he watches the first lecture, and please give him the 95% confidence interval
The first video of *any* playlist will have much more views than the last ones. Doesn't even matter what the topic is. To respond in such an arrogant way to such a basic phenomenon makes you look like a total twat.
It's funny, chapter 9 covers the entirety of what I learned in AP statistics 10 years ago. I think that goes to show that AP statistics is a worthless class, and that probability theory and calculus should be taught at a younger age.
So abstract. Use examples to help students distinguish between different formulae. Lecturer is well intentioned and I blame the institutions for producing grads who can't apply the content they learn
Thank you MIT. Thank you Prof. Tsiklis.
Thank you for this lecture, I found it very helpful and informative.Great lecture and good filiming. Much appreciated.
I dont know why but there has to be some examples to be solved to prove and get the better understanding of the equations he is putting up.
Otherwise it a awesome series.
Download his book. It has examples.
want to start learning statistical inference. Excellent lecture, thanks!
I should have begun this course earlier instead of turning it down because of the recording quality.
thanks
At 22:48 the professor makes a minor mistake, I think "the expected value squared". I think he meant "the expected value of the square".
Fuck this is hard
but why divide by n-1 to make it unbaised
read bessels correction
Professor looks like sting.
the first lecture has 580k viewers, and lecture 23 has 30k viewers? Are those people really want to learn something?
徐凌 The material is hard to get through, especially for those who lack the mathematical background (which is most of the general public or even the college going population). This ain't a 2 blue balls and 3 red balls in a box what is the probability that I pick a red ball kind of course.
@@Maeda_Toshiie So your boss assigns you a problem: estimate the conditional probability of one going through the whole MIT probability lectures given that he watches the first lecture, and please give him the 95% confidence interval
The first video of *any* playlist will have much more views than the last ones. Doesn't even matter what the topic is. To respond in such an arrogant way to such a basic phenomenon makes you look like a total twat.
@@MrCmon113 took the words out of my mouth.
It's funny, chapter 9 covers the entirety of what I learned in AP statistics 10 years ago. I think that goes to show that AP statistics is a worthless class, and that probability theory and calculus should be taught at a younger age.
So abstract. Use examples to help students distinguish between different formulae. Lecturer is well intentioned and I blame the institutions for producing grads who can't apply the content they learn