princejan7
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Homework Statement
My book says that
P(C∩G) = P(G)P(C|G)
but shouldn't it be
P(C∩G)= P(C)P(C|G)
?
The discussion revolves around the probability formula P(C∩G) = P(G)P(C|G) and whether it is correctly stated in the context of conditional probability. Participants are examining the definitions and relationships between the probabilities of events C and G.
The discussion is active, with participants providing insights into the definitions of conditional probability and the relationships between the probabilities of events. There is a recognition of the correct formula, but some confusion remains regarding notation and interpretation.
Participants are addressing potential misunderstandings related to the notation of conditional probability and the conditions under which the formulas apply. There is an emphasis on ensuring clarity in definitions and assumptions made in the problem context.
No. To see why, consider the case where ##C## and ##G## are independent. Then we expect ##P(C|G) = P(C)## and ##P(C \cap G) = P(C)P(G)##. That is consistent with the formula from the book, not your proposed formula.princejan7 said:Homework Statement
My book says that
P(C∩G) = P(G)P(C|G)
but shouldn't it be
P(C∩G)= P(C)P(C|G)
princejan7 said:Homework Statement
My book says that
P(C∩G) = P(G)P(C|G)
but shouldn't it be
P(C∩G)= P(C)P(C|G)
?
Homework Equations
The Attempt at a Solution
Perhaps you are misreading the notation. P(C|G) means the probability of the event C given that event G occurs. Maybe you read it as the other way around?princejan7 said:My book says that
P(C∩G) = P(G)P(C|G)
but shouldn't it be
P(C∩G)= P(C)P(C|G)