Conditional probability tree diagram example | Probability | AP Statistics | Khan Academy

[@aaronastolfi7478]

Sal got me through my engineering degree, thank you!

[@bivshiyzek]

Fascinating! Thanks, Sal, I'm your biggest fun. I skipped a lot at school, and you're helping me to fill in the gaps. Greetings from Brazil.

[@sasi849]

I love this the best probability video I've ever played. Thanks

[@udaygawande104]

True

[@asdfire]

Great hitmarker cursor

[@bobthebb-illder827]

lmaoooo 😂💀

[@Josh-xo8wd]

@@bobthebb-illder827 Makes me wonder if he plays CS:GO

[@ethanmartinez836]

The way he explains math better than anyone else

[@Josama0214]

This isn't math?

[@billyboi1662]

Thank you

[@MrNecropolice]

Nice explanation. Thank you.

[@mathteacher2651]

Well done! thank you

[@udaygawande104]

Good explanation

[@aqsavidhra7488]

thank you sal

[@rafansyed8420]

Sal tryna explain that he didn't do drugs You're not fooling anyone

[@Sukant98]

Really helpful thanks

[@dawitdereje2690]

You are the best

[@3a9im27]

Better call Sal:-)

[@Jim99O]

Did he mix up false negative and positives, or am I just confused?

[@edmondmwelwa5826]

U are right

[@yassinovo]

if it is stated that 5% of the applicants are actually on drugs, shouldn't the test be irrelevant when selecting randomly?

[@rithvikthachappilly8088]

no because there is a 5% chance that the guys were actually on drugs. sorry for replying 2 years later im studying for an exam

[@obeytheMIGHTY]

shouldnt you multiply the 500 on drugs by the true positive rate not the true negative rate

[@Graces_tunes]

R U TAKING DRUGS?

[@elnurmmmdov436]

why didn't we divide by 500+190?

[@richidubey8301]

Because we arent checking for the case where the test shows +ve.

[@12345Hossam]

But aren't the 2% actually on drugs also since they tested positive? Since the 2% is a false positive rate, they got the result of not being on drugs incorrectly. So given the applicant tests positive, the probability they are actually on drugs are 100%. (I'm overthinking this maybe..)

[@sd-xk7qr]

2% false positive rate means that the test shows someone who is NOT on drugs is on drugs 2% of the time

[@marianedaguno9709]

Is this a dependent or independent pls someone tell me

[@BananaSocks-101]

Dependent. First event is whether applicant on drugs or not. Second event is whether test positive or negative. Second event's probability depends on outcome of first event, so events are dependent. Hopefully this is useful after 7 months )

[@sirjoshuafaw]

bro this is wrong.

[@littlelilly7480]

ikr im getting different ans T_T

[@anthonyjake15]

first :)

[@jackleaves4948]

Jake Ramirez 🅱️