Marginal distribution and conditional distribution | AP Statistics | Khan Academy

Marginal distribution and conditional distribution.

AP Statistics on Khan Academy: Meet one of our writers for AP¨_ Statistics, Jeff. A former high school teacher for 10 years in Kalamazoo, Michigan, Jeff taught Algebra 1, Geometry, Algebra 2, Introductory Statistics, and AP¨_ Statistics. Today he's hard at work creating new exercises and articles for AP¨_ Statistics.

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[kurimiaisukurimu]

That 4% that studied for over an hour and still failed the test. So sad.

[saadmughal]

Khan academy saving my life since forever. Thanks Sal!

[Jacob]

In order to obtain the actual conditional distribution, you would have to divide the whole column by the marginal probability (at the bottom of the column), so that it is normalized (sums to 1) and also, so that rules of probability hold: P(A | B) = P(A, B)/P(B).

It is rather misleading the way it is presented here.

[jazzvids]

Just a technical note regarding the conditional distribution, it has to sum to 100%. So we need to multiply each of the values in the "> 60" column by 1/0.35.

[fktudiablo]

I have always being proud of falling into the category of the 1% who had the best marks by studying the less than 20 min.... until the end of the Highschool tho :'(

[mingnelson]

once again, khan academy comes in clutch

[charmendro]

Watched video as I study a few hours before my test

[amanshaikh]

What is the maximum no. of conditional distribution in a bivariate frequency distribution??

[shyboievris]

I'm starting to realize I overthink math as much as everything else...

[BBonBon]

4:54
"Among... Among Us" :)

[CatnipCaptain]

Im having math where i have to isolate the variable and find X and Y. Need help. What video can I watch?

[wywlonl]

I assumed you meant hours and not minutes. At my uni it is closer to hours lol

[mapa]

Sir can't a conditional distribution be more than 60 marks and less than 100??

[nabi]

I failed because of 👉 P(A | B) = P(A, B)/P(B)

[Chuukwudi]

Based on Python pandas, i belong to df.iloc[0, 1] and those who do not understand this belong to df.iloc[4, 3]

[danielr.]

seriously, his explanations are usually too wordy...

[Claxiux]

i hear Sal, and I press dislike. 3Blue1Brown on the other side, I smash that Like button