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Using it's concept, it is found that the situation that best describes conditional probability is given by:

4. Finding the probability of an event occurring given another event had already occurred.

What is Conditional Probability?

Conditional probability is the probability of one event happening, considering a previous event. The formula is:

[tex]P(B|A) = \frac{P(A \cap B)}{P(A)}[/tex]

In which:

  • P(B|A) is the probability of event B happening, given that A happened.
  • [tex]P(A \cap B)[/tex] is the probability of both A and B happening.
  • P(A) is the probability of A happening.

The key-word is previous, that is, we have to consider a previous event that already happened. Hence, researching the problem on the internet, the correct option is given by:

4. Finding the probability of an event occurring given another event had already occurred.

More can be learned about conditional probability at https://brainly.com/question/14398287

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