I discovered this channel in youtube search and guess what it burnt all my frustration and I love the way to make people understand topic in this video!
The clarity you provide--as in, what the zero or 1 on the x-axis of the normal distribution represent but more importantly what they don't represent, which has been a source of confusion (and a drag) for me, is now more clear and finally validates a hunch/H-sub-A I've held; too many terms in statistics which I've encountered have been near-tautologies and a gigantic obstacle for me. In my humble and quasi-researched opinion about learning, cognitive transfer, linguistics, and abstraction, I postulate that for a new subject, especially those often found as hardly intuitive (clearly as a function of many factors), require the most clarity and for me an exhaustive list of features and areas of overlap, as well as an explicit articulation of the areas or features an idea does not connect with. THANK YOU for the excellent presentation!
An Amazing video and explanation. All these other videos only said points on the probability density function are likelihood but it didn't make any sense to me. the way you explained it cleared everything.
Great video! I'm just curious: When you say "we don't know which universe we're in," is this just another way of saying, "we don't know the probability distribution of the coin"?
Amazing, if i got correctly its like In probability, we start with the whole and then delve into the details, but in likelyhood, we begin with the details and then move to the whole.
Yup, in probability we start with the situation/universe/parameter and find the probability of outcomes. With likelihood, we start with the outcomes and try to figure out the situation/universe/parameters!
Lately I've been introducing LRT, or tests in general, to my coworkers like "I would bet you with 1:20 odds that this coin is rigged, would you take this bet?"
A Very nice explanation. We poor experimental physicists (and any other scientists whose discipline is base on observations) deal almost exclusively with likelihoods - we use observations to draw conclusions about the (a priori unknown) properties on the actual universe. Theoretical physicists, OTOH, postulate those properties and calculate probabilities of what we _should_ observe. Then we compare the two.
No worries, Martin - you only really need to know what "likelihood" is if you're doing advanced statistics stuff anyways. In everyday language, these words mean the same thing, and even in statistics, they are really not so different!
