L01.5 Simple Properties of Probabilities

MIT RES.6-012 Introduction to Probability, Spring 2018
Instructor: John Tsitsiklis

License: Creative Commons BY-NC-SA

[PedroOliveira-ezni]

An angel fell from the sky to teach us about probability!!!

[jhennique]

where the hell has this course been all my life?

[BavleenSingh-sq]

The video provides a good introduction to basic probability concepts and properties. It uses simple examples of flipping coins and rolling dice to demonstrate key ideas like the complement rule, union rule, and conditional probability. While very basic, it succinctly covers fundamental building blocks that form the foundation for statistics and more advanced probability. The visual animations help reinforce the explanations. This seems like a useful first video for someone looking to establish probability fundamentals in an approachable way.

[SIMRANJEETKAUR-uf]

Thank you for making the complicated subject of probability more understandable with your enlightening and interesting talk! Your concise explanations and practical examples make learning these basic ideas a breeze. eager to explore the interesting world of probability in further detail under your direction.

[salonikhurana]

you explained it so easily that everything is cleared in a single view.

[nayeemmahmud]

You made it seem so simple to understand that everything is now apparent.

[mohammedlaique]

Explained in a very simple and clear way the properties of probability

[nikhilsood]

You explained the topic in such an easy manner, thanks sir

[tarunpahuja]

Additive property where in we say P(Event) = Sum of probability of its individual element is applicable only for discrete model. Because for continous model probability of each individual element would be zero.

[BELLAROSE]

Gosh dang …. Wow …. So genius … So simple yet so so complex …. Next step is quantify the numbers whereby they are finite and exist only one set, then begin experiment, and watch(time/particle in box 📦 ) the “event”..

[davidzhang]

Really great master you are!!Thanks for your presention

[nikeoyedele]

Well explained and understood!! Thank you.

[SecretEscapist]

Thank You So Much for this amazing lecture 💌

[zhadyyo]

It is proven that probabilities, can be negative or less than or also equal to 1