Using conditional probability, it is found that the correct statement is:
The probability that Bryan sleeps 8 or more hours is the same whether or not it is raining in the morning.
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:
In this problem, the events are as follows:
The events are independent, hence:
[tex]P(A \cap B) = P(A)P(B)[/tex]
Then:
[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]
Hence the correct option is:
The probability that Bryan sleeps 8 or more hours is the same whether or not it is raining in the morning.
More can be learned about conditional probability at https://brainly.com/question/14398287