How to relate P(F) with P(F') where F' is F's closure (P(F)\neq 0)

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In summary, the relationship between P(F) and P(F') depends on the probability measure and the set F itself. There is no general conclusion that can be drawn, but in general, since F is a subset of its closure, the probability of F is less than or equal to the probability of the closure. This means that the statement P(F)=P(F') may not always be true.
  • #1
rukawakaede
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As title:

How do you relate P(F) with P(F') where F' is F's closure.

Conditions: [tex]P(F)\neq 0[/tex] and F non-empty.

My thought is P(F)=P(F').

Is this true?
 
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  • #2
Now I understand that this depends on the probability measure and of course the set F itself. there is no general conclusion that could be draw for this situation.
 
  • #3
In general, since F is a subset of its closure, the probability of F is less than or equal to the probability of the closure.
 
  • #4
g_edgar said:
In general, since F is a subset of its closure, the probability of F is less than or equal to the probability of the closure.

yes. thank you.
 
  • #5


No, this is not necessarily true. P(F) and P(F') may not be equal because they represent different probabilities. P(F) represents the probability of event F occurring, while P(F') represents the probability of event F' occurring. F' is the closure of F, meaning it includes all possible outcomes that are a result of event F. Therefore, F' may have a larger or smaller probability than F, depending on the specific events and their probabilities. For example, if F is the event of rolling a 6 on a standard die, P(F) is 1/6. However, if F' is the event of rolling an even number on a standard die, P(F') is 3/6 or 1/2. In this case, P(F) and P(F') are not equal.
 

1. What is P(F)?

P(F) is the probability of event F occurring. It is a measure of the likelihood that F will happen.

2. What is F's closure?

F's closure, denoted as F', refers to the complement of event F. It includes all outcomes that are not in event F.

3. Why do we need to relate P(F) with P(F')?

Relating P(F) with P(F') allows us to analyze the probability of events and their complements. It can provide a more comprehensive understanding of the overall likelihood of outcomes.

4. How can we relate P(F) with P(F')?

To relate P(F) with P(F'), we can use the formula P(F') = 1 - P(F). This is based on the fact that the sum of probabilities for all possible outcomes must equal 1.

5. Can P(F) and P(F') be equal?

Yes, in some cases P(F) and P(F') can be equal. This can occur when event F has a probability of 0.5, meaning that its complement F' also has a probability of 0.5. However, in most cases, P(F) and P(F') will not be equal.

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