Wow a real Bayes Theorem question.
Let's name some events.
A - honor student accepts offer to attend VT
V - honor student visits VT
45% of the potential honors students visit the campus before making their decision
P(V) = .45
If the student visits, they accept the offer to attend Virginia Tech 95% of the time
P(A | V) = 0.95
but the students that do not visit the campus before making their decision will attend 55% of the time.
P(A | ¬V) = 0.55
Knowing a student will enter the Virginia Tech Honors program, what is the probability that they visited the campus before making their decision
We're asked for P(V | A)
OK, according to Bayes Theorem
P(V | A) = P(A | V) P(V) / ( P(A | V) P(V) + P(A | ¬V) P(¬V) )
Of course P(¬V) = 1 - P(V) = 1 - .45 = .55
I think we have everything to do the calculation.
P(V | A) = (.95 × .45)/ ( .95 × .45 + .55 × .55 ) = 0.5856164
Answer: 58.6%