When I learned about conditional probability, I found this statement:

if A is not independent of B then also B is not independent of A. Formally, if P(A) ≠ P(A|B) then P(B) ≠ P(B|A).

I think “not independent” is the same as “dependent”, right?

So does that mean this statement is also correct: “if A is dependent on B then B is also dependent on A”? I’m a little bit confused because in my mother language, the translation of “dependent” is directed word that’s not symmetrical.

**Answer**

In statistics, “dependent” and “not independent” have the same meaning. There is no inherent notion of causation.

In regular English, I would say that “dependent” implies causation. Dinner temperature depends on oven temperature, not the other way around.

**Attribution***Source : Link , Question Author : malioboro , Answer Author : Dave*