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In an examination, the probability of a candidate solving a question is `(1)/(2)`. Out of given 5 questions in the examination, what is the probability that the candidate was able to solve at least 2 question?

A

`(1)/(64)`

B

`(3)/(16)`

C

`(1)/(2)`

D

`(13)/(16)`

Text Solution

AI Generated Solution

The correct Answer is:
To find the probability that a candidate solves at least 2 questions out of 5, where the probability of solving each question is \( \frac{1}{2} \), we can follow these steps: ### Step 1: Define the problem We need to calculate the probability of the candidate solving at least 2 questions. This means we need to find the probabilities of the candidate solving 2, 3, 4, or 5 questions. ### Step 2: Use the binomial probability formula The probability of solving exactly \( k \) questions out of \( n \) total questions can be calculated using the binomial probability formula: \[ P(X = k) = \binom{n}{k} p^k (1-p)^{n-k} \] where: - \( n \) = total number of questions (5 in this case) - \( k \) = number of questions solved - \( p \) = probability of solving a question (\( \frac{1}{2} \)) - \( \binom{n}{k} \) = combination of \( n \) questions taken \( k \) at a time ### Step 3: Calculate probabilities for \( k = 2, 3, 4, 5 \) We will calculate the probabilities for \( k = 2, 3, 4, 5 \): 1. **For \( k = 2 \)**: \[ P(X = 2) = \binom{5}{2} \left(\frac{1}{2}\right)^2 \left(\frac{1}{2}\right)^{5-2} = \binom{5}{2} \left(\frac{1}{2}\right)^5 \] \[ = 10 \cdot \frac{1}{32} = \frac{10}{32} \] 2. **For \( k = 3 \)**: \[ P(X = 3) = \binom{5}{3} \left(\frac{1}{2}\right)^3 \left(\frac{1}{2}\right)^{5-3} = \binom{5}{3} \left(\frac{1}{2}\right)^5 \] \[ = 10 \cdot \frac{1}{32} = \frac{10}{32} \] 3. **For \( k = 4 \)**: \[ P(X = 4) = \binom{5}{4} \left(\frac{1}{2}\right)^4 \left(\frac{1}{2}\right)^{5-4} = \binom{5}{4} \left(\frac{1}{2}\right)^5 \] \[ = 5 \cdot \frac{1}{32} = \frac{5}{32} \] 4. **For \( k = 5 \)**: \[ P(X = 5) = \binom{5}{5} \left(\frac{1}{2}\right)^5 \left(\frac{1}{2}\right)^{5-5} = \binom{5}{5} \left(\frac{1}{2}\right)^5 \] \[ = 1 \cdot \frac{1}{32} = \frac{1}{32} \] ### Step 4: Sum the probabilities Now, we sum the probabilities for \( k = 2, 3, 4, 5 \): \[ P(X \geq 2) = P(X = 2) + P(X = 3) + P(X = 4) + P(X = 5) \] \[ = \frac{10}{32} + \frac{10}{32} + \frac{5}{32} + \frac{1}{32} = \frac{26}{32} \] ### Step 5: Simplify the result \[ \frac{26}{32} = \frac{13}{16} \] ### Final Answer The probability that the candidate was able to solve at least 2 questions is \( \frac{13}{16} \). ---
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