Lecture 30: Chi-Square, Student-t, Multivariate Normal | Statistics 110

Lecture 30: Chi-Square, Student-t, Multivariate Normal | Statistics 110

So there’s a couple more important distributions. That’s the main topic for today. Then we’ll start Markov chains next time. All the remaining distributions are what I would call off shoots of the normal. That is their importance is inherited from the fact that the …

Lecture 25: Order Statistics and Conditional Expectation | Statistics 110

Lecture 25: Order Statistics and Conditional Expectation | Statistics 110

So we were talking about the beta distribution and the gamma distribution separately. And I mentioned that they’re connected but we haven’t seen, how is beta connected to gamma other than being consecutive letters of the Greek alphabet? So there’s one very, very famous example …

Lecture 32: Markov Chains Continued | Statistics 110

Lecture 32: Markov Chains Continued | Statistics 110

Okay, so I’ll remind you, what a Markov chain is, cuz a week ago. Markov chain, in a certain sense, is kinda memoryless type of thing, in that you’re imagining that this particle bouncing around from state to state, and it doesn’t remember how it …

Lecture 17: Moment Generating Functions | Statistics 110

Lecture 17: Moment Generating Functions | Statistics 110

So we were talking about the exponential distribution, and if I remember correctly we were talking about something called the memoryless property, right? So we showed the last time that the exponential distribution is memoryless but at this point as far as we know there …

Lecture 11: The Poisson distribution | Statistics 110

Lecture 11: The Poisson distribution | Statistics 110

So coming back into what we were doing with discrete distributions. And I wanted to mention one common. Kind of the most common or fundamental common mistake in probability. Because a couple of the TFs mentioned that this is coming up on the homework, which …

Harvard Business School: Interview with an MBA student

Harvard Business School: Interview with an MBA student

Guys, we are at Harvard Business School. Here with me today is the graduate of MBA and MD Programs and, in my view, the smartest guy who managed to pass these programs. Watch our inverview and you will learn how to enter such programs, how …

Constructing overview (Pattern – Constructing – 14.5)

Constructing overview (Pattern – Constructing – 14.5)

Constructing your own patterns can be a rewarding experience. Professional artists and decorators use pattern as part of their job. But sometimes our hobbies themselves have pattern associated with them – so whether we play a musical instrument, or we do some DIY, or we …

Lecture 2: Story Proofs, Axioms of Probability | Statistics 110

Lecture 2: Story Proofs, Axioms of Probability | Statistics 110

SPEAKER: OK. So, as far as clarifications, and hints and comments, and so on on the homework, these are kind of general comments. One is don’t lose your common sense. That doesn’t mean you can rely only on common sense, because we’re going to see …

Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110

Lecture 19: Joint, Conditional, and Marginal Distributions | Statistics 110

Okay? So last time we were talking about joint distributions. And just to kinda quickly remind everyone I like the big theme right now is joint, conditional, and marginal distributions. And everyone needs to get comfortable at how all those concepts relate. So there’s three …