Final answer:
To solve part A, calculate the probability for each possible draw from box one and combine them. For part B, apply Bayes' theorem, considering the probability of drawing two red balls from box two and the probability of having picked ball number 2 from box one.
Step-by-step explanation:
Probability of Selecting Red Balls
Part A: The probability that Bill selects only red balls from the second box can be found by considering each possible number he could select from the first box:
If Bill selects the ball numbered 4, the probability of four red balls in succession is (5/13) × (4/12) × (3/11) × (2/10).
To find the total probability, you must add up the probabilities of each case, each weighted by the probability of drawing the corresponding number from the first box (which is 1/4 for each number).
Conditional Probability
Part B: The probability that Bill selected ball number 2 from the first box given that he selected only red balls from the second box is found using Bayes' theorem. This theorem relates the conditional probability to the likelihood of the event occurring with the overall probability of selecting only red balls.
Using the probabilities we calculated in Part A, we can apply Bayes' theorem:
P(Ball 2 | Only Red Balls) = P(Only Red Balls | Ball 2) × P(Ball 2) / P(Only Red Balls)
Here, we plug in the probabilities:
P(Ball 2 | Only Red Balls) = (5/13) × (4/12) × 1/4 / P(Only Red Balls)
We previously calculated P(Only Red Balls) as the total probability of drawing only red balls from all cases in Part A.