Independent events in probabilities

AI Thread Summary
The discussion focuses on determining the independence of pairs of events A, B, and C based on the outcomes of rolling a single die. The calculated probabilities show that P(A) = 2/3, P(B) = 1/2, and P(C) = 1/2, leading to P(A&B) = 1/3, P(A&C) = 1/3, and P(B&C) = 1/4. Despite the calculations suggesting none of the pairs meet the independence criteria, it is stated that the book claims (A,C) is independent. A key point raised is the importance of considering the outcomes included in each event when calculating joint probabilities. The discussion emphasizes the need to accurately assess probabilities to determine independence correctly.
stevecallaway
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Homework Statement


Let S be the sample space for rolling a single die. Let A={1,2,3,4}, B={2,3,4}, and C={3,4,5}. Which of the pairs (A,B), (A,C), and (B,C) is independent?


Homework Equations


P(A|B)=P(A)
P(A|B)=P(A&B)/P(B)
P(A&B)=P(A)*P(B)

The Attempt at a Solution


P(A)=2/3 P(B)=1/2 P(C)=1/2
P(A&B)=P(A)*P(B)=(2/3)(1/2)=1/3 P(A&B)/P(B)=(1/3)/(1/2)=1/6
P(A&C)=1/3 P(A&C)/P(C)=(1/3)/(1/2)=1/6
P(B&C)=1/4 P(B&C)/P(C)=(1/4)/(1/2)=1/8

So based on my calculations, there is none of the pairs which match the independence rule. But the book says that (A,C) is independent.
 
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stevecallaway said:

Homework Statement


Let S be the sample space for rolling a single die. Let A={1,2,3,4}, B={2,3,4}, and C={3,4,5}. Which of the pairs (A,B), (A,C), and (B,C) is independent?


Homework Equations


P(A|B)=P(A)
P(A|B)=P(A&B)/P(B)
P(A&B)=P(A)*P(B)
The first and third equations only hold when A and B are independent. The second equation holds generally.

The Attempt at a Solution


P(A)=2/3 P(B)=1/2 P(C)=1/2
P(A&B)=P(A)*P(B)=(2/3)(1/2)=1/3 P(A&B)/P(B)=(1/3)/(1/2)=1/6
P(A&C)=1/3 P(A&C)/P(C)=(1/3)/(1/2)=1/6
P(B&C)=1/4 P(B&C)/P(C)=(1/4)/(1/2)=1/8

So based on my calculations, there is none of the pairs which match the independence rule. But the book says that (A,C) is independent.
You can't ignore the outcomes included in each set. For example, if events A and B are both true, that means that you rolled a 2, 3, or 4, so P(A&B)=1/2.
 
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