<p>For a student to qualify, he must pass at least two out of three exams. The probability that he will pass the first exam is <em>p</em>. If he fails in one of the exams then the probability of his passing in the next exam is <em>p</em>/2, otherwise it remains the same. Find the probability that he will qualify.</p>
Step-by-Step Solution
Key Concept: The student qualifies by passing at least 2 out of 3 exams. We must track conditional probabilities: if he fails one exam, his passing probability becomes p/2 for subsequent exams, otherwise it stays p. Use the law of total probability by considering all qualifying scenarios.
**Step 1:** Identify qualifying cases.
A student qualifies if they pass at least two out of three exams. The possible sequences of outcomes that lead to qualification are:
* Pass, Pass, Pass (PPP)
* Pass, Pass, Fail (PPF)
* Pass, Fail, Pass (PFP)
* Fail, Pass, Pass (FPP)
**Step 2:** Calculate the probability for Case 1 (PPP).
The probability of passing the first exam is $p$.
Since no failure has occurred, the probability of passing the second exam remains $p$.
Similarly, since no failure has occurred, the probability of passing the third exam remains $p$.
$$P(PPP) = p \cdot p \cdot p = p^3$$
**Step 3:** Calculate the probability for Case 2 (PPF).
The probability of passing the first exam is $p$.
Since no failure has occurred, the probability of passing the second exam remains $p$.
Since no failure has occurred, the probability of failing the third exam is $(1-p)$.
$$P(PPF) = p \cdot p \cdot (1-p) = p^2(1-p)$$
**Step 4:** Calculate the probability for Case 3 (PFP).
The probability of passing the first exam is $p$.
Since no failure has occurred, the probability of failing the second exam is $(1-p)$.
A failure occurred in the second exam, so the probability of passing the third exam becomes $p/2$.
$$P(PFP) = p \cdot (1-p) \cdot \left(\frac{p}{2}\right) = \frac{p^2(1-p)}{2}$$
**Step 5:** Calculate the probability for Case 4 (FPP).
The probability of failing the first exam is $(1-p)$.
A failure occurred in the first exam, so the probability of passing the second exam becomes $p/2$.
Since the second exam was passed (not failed), the condition "otherwise it remains the same" applies, meaning the probability of passing the third exam reverts to $p$.
$$P(FPP) = (1-p) \cdot \left(\frac{p}{2}\right) \cdot p = \frac{p^2(1-p)}{2}$$
**Step 6:** Calculate the total probability of qualifying.
The total probability of qualifying is the sum of the probabilities of these four mutually exclusive cases.
$$P_{total} = P(PPP) + P(PPF) + P(PFP) + P(FPP)$$
$$P_{total} = p^3 + p^2(1-p) + \frac{p^2(1-p)}{2} + \frac{p^2(1-p)}{2}$$
$$P_{total} = p^3 + p^2(1-p) + p^2(1-p)$$
$$P_{total} = p^3 + 2p^2(1-p)$$
$$P_{total} = p^3 + 2p^2 - 2p^3$$
$$P_{total} = 2p^2 - p^3$$
Correct Answer: 2p² - p³