Probability Q: Explaining Union & Independent Events

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In summary, the conversation discusses the application of the independence principle in a sample space with two events. If the events are disjoint, the union is the sample space itself. If the events are independent, the last term in the equation is the product of the individual probabilities. The principle only applies to two separate events and cannot be used within a single event.
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barksdalemc
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I am reviewing for a midterm and something I looked at before is confusing me. Can someone give me an explanation? If a sample space has events A1 A2, then the prob(A1 U A2)= prob (A1) + prob (A2) - prob (A1intA2). That makes perfect sense. If they are disjoint, then the union is just the sample space itself. Now if the events are independent of each other then the last term is the product of P(A1) and P(A2). But does this only refer to two separate events? In other words you can't really use the independence within a sample space right? Does it have to be two events like one flip of a coin and then another flip?

Thanks in advance
 
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. Yes, the independence only applies to two separate events. It does not refer to a sample space as it applies to two events independently of each other. For example, if you have a single coin flip, then you cannot apply the independence principle as there is only one event (the coin flip). However, if you have two coin flips, then you can apply the independence principle because each coin flip is an independent event.
 

FAQ: Probability Q: Explaining Union & Independent Events

What is the definition of union and independent events?

Union events refer to the combination of two or more events, while independent events are events that do not affect each other's outcome. In other words, the outcome of one event does not influence the outcome of the other event.

How do you calculate the probability of union events?

To calculate the probability of union events, you need to add the individual probabilities of each event and subtract the probability of their intersection. This can be represented as P(A ∪ B) = P(A) + P(B) - P(A ∩ B).

Can two events be both independent and mutually exclusive?

No, two events cannot be both independent and mutually exclusive. If two events are mutually exclusive, it means that they cannot occur at the same time, which contradicts the definition of independent events where the outcome of one event does not affect the outcome of the other event.

What is the difference between conditional and independent events?

The main difference between conditional and independent events is that the outcome of a conditional event depends on the outcome of a previous event, while the outcome of an independent event does not depend on any previous event. Conditional events are also known as dependent events.

How do you determine if two events are independent?

To determine if two events are independent, you need to calculate the probability of their intersection. If the probability of their intersection is equal to the product of their individual probabilities, then the events are independent. This can be represented as P(A ∩ B) = P(A) * P(B).

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