Independent events in probabilities

Similarly, if events A and C are both true, that means you rolled a 3 or 4, so P(A&C)=1/3. Therefore, P(A&B)/P(B)=1/2 divided by 1/2 equals 1, and P(A&C)/P(C)=1/3 divided by 1/2 equals 2/3, which show that both (A,B) and (A,C) satisfy the independence rule. The only pair that does not satisfy the rule is (B,C), as P(B&C)/P(C)=1/4 divided by 1/2 equals 1/2, which is not equal to 1. In summary, the pairs (A,B) and (
  • #1
stevecallaway
21
0

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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  • #2
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.
 

Related to Independent events in probabilities

1. What is meant by "independent events" in probabilities?

Independent events in probabilities refer to events that do not affect each other's likelihood of occurring. This means that the outcome of one event has no impact on the outcome of the other event.

2. How do you determine if two events are independent?

To determine if two events are independent, you can use the formula P(A and B) = P(A) x P(B), where P(A and B) is the probability of both events occurring, and P(A) and P(B) are the individual probabilities of each event occurring. If the formula holds true, then the events are considered independent.

3. Can independent events occur at the same time?

Yes, independent events can occur at the same time. For example, flipping a coin and rolling a dice are two independent events that can occur simultaneously.

4. How do you calculate the probability of independent events occurring together?

To calculate the probability of independent events occurring together, you can use the formula P(A and B) = P(A) x P(B), where P(A and B) is the probability of both events occurring, and P(A) and P(B) are the individual probabilities of each event occurring.

5. What is the difference between independent and dependent events?

The main difference between independent and dependent events is that the outcome of one event has no impact on the outcome of the other event in independent events, while the outcome of one event can affect the likelihood of the other event occurring in dependent events.

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