Using conditional probability, it is found that the correct statement is given by:
C. If P(A | B) = P(A) and P(B | A) = P(B), then the events are independent.
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:
If two events are independent, we have that:
[tex]P(A \cap B) = P(A)P(B)[/tex].
Hence:
[tex]P(B|A) = \frac{P(A \cap B)}{P(A)} = \frac{P(A)P(B)}{P(A)} = P(B)[/tex]
[tex]P(A|B) = \frac{P(A \cap B)}{P(B)} = \frac{P(A)P(B)}{P(B)} = P(A)[/tex]
Which means that option C is correct.
More can be learned about conditional probability at https://brainly.com/question/14398287
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