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A die is thrown 7 times. The chance that...

A die is thrown 7 times. The chance that an odd number turns up at least 4 times, is

A

`1//4`

B

`1//2`

C

`1//8`

D

None of these

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To solve the problem of finding the probability that an odd number turns up at least 4 times when a die is thrown 7 times, we can follow these steps: ### Step 1: Identify the Probability of Getting an Odd Number A standard die has 6 faces: 1, 2, 3, 4, 5, and 6. The odd numbers are 1, 3, and 5. Thus, there are 3 odd numbers out of 6 total numbers. **Probability of rolling an odd number (P(Odd))**: \[ P(Odd) = \frac{3}{6} = \frac{1}{2} \] ### Step 2: Identify the Probability of Getting an Even Number Similarly, the even numbers on a die are 2, 4, and 6, which also gives us: **Probability of rolling an even number (P(Even))**: \[ P(Even) = \frac{3}{6} = \frac{1}{2} \] ### Step 3: Define the Random Variable Let \( X \) be the random variable representing the number of times an odd number appears when the die is thrown 7 times. We want to find \( P(X \geq 4) \). ### Step 4: Use the Complement Rule To find \( P(X \geq 4) \), we can use the complement rule: \[ P(X \geq 4) = 1 - P(X < 4) \] This means we need to calculate \( P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) \). ### Step 5: Calculate Each Probability Using the Binomial Formula The probability of getting exactly \( k \) odd numbers in \( n \) trials (where \( n = 7 \)) can be calculated using the binomial probability formula: \[ P(X = k) = \binom{n}{k} (p)^k (1-p)^{n-k} \] where \( p = \frac{1}{2} \). #### Calculate \( P(X = 0) \): \[ P(X = 0) = \binom{7}{0} \left(\frac{1}{2}\right)^0 \left(\frac{1}{2}\right)^{7} = 1 \cdot 1 \cdot \frac{1}{128} = \frac{1}{128} \] #### Calculate \( P(X = 1) \): \[ P(X = 1) = \binom{7}{1} \left(\frac{1}{2}\right)^1 \left(\frac{1}{2}\right)^{6} = 7 \cdot \frac{1}{2} \cdot \frac{1}{64} = \frac{7}{128} \] #### Calculate \( P(X = 2) \): \[ P(X = 2) = \binom{7}{2} \left(\frac{1}{2}\right)^2 \left(\frac{1}{2}\right)^{5} = 21 \cdot \frac{1}{4} \cdot \frac{1}{32} = \frac{21}{128} \] #### Calculate \( P(X = 3) \): \[ P(X = 3) = \binom{7}{3} \left(\frac{1}{2}\right)^3 \left(\frac{1}{2}\right)^{4} = 35 \cdot \frac{1}{8} \cdot \frac{1}{16} = \frac{35}{128} \] ### Step 6: Sum the Probabilities Now we sum these probabilities: \[ P(X < 4) = P(X = 0) + P(X = 1) + P(X = 2) + P(X = 3) \] \[ P(X < 4) = \frac{1}{128} + \frac{7}{128} + \frac{21}{128} + \frac{35}{128} = \frac{64}{128} = \frac{1}{2} \] ### Step 7: Calculate \( P(X \geq 4) \) Now we can find \( P(X \geq 4) \): \[ P(X \geq 4) = 1 - P(X < 4) = 1 - \frac{1}{2} = \frac{1}{2} \] ### Final Answer The probability that an odd number turns up at least 4 times when a die is thrown 7 times is: \[ \frac{1}{2} \]
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