How to write conditional probability in Python?

Question

I am not sure if that's a place to ask here (my type question)?

I am working to code in python but I am struggling to interpreter that to Python.

My question is : I have Pr(A | B) in the case of dependent which is equal to

Pr ( A ∩ B ) / Pr(B). I know how to do it by program, but I mean can I do that by python. On my idea I just multiply Pr ( A ) * Pr (B) then I / Pr(B). Which I think is not correct is there anyway to write that the conditional probability in python program, or what did is correct?

Your proposed implementation of conditional probability assumes independence, and is in fact just Pr(A). This follows from both your formula and intuition. — Ami Tavory
– Ami Tavory, Commented Jun 8, 2015 at 9:04
yes, P (A ∩ B) is not equal to P(A) * P(B) if event A and B are dependent — Sarit Adhikari
– Sarit Adhikari, Commented Jun 8, 2015 at 9:08

Sarit Adhikari · Accepted Answer · 2015-06-08 09:15:33Z

2

if you know values of P(A ∩ B) and P(B) , you can compute P(A | B) using

pB = 0.3
pAB=0.4

pAifB = pAB / pB
print(pAifB)

answered Jun 8, 2015 at 9:15

Sarit Adhikari

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