The random variable \( X \) does have a binomial distribution.
Here’s why:
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Fixed Number of Trials (N): The die is rolled 30 times, which means there are a fixed number of trials, \( N = 30 \).
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Two Possible Outcomes: For each roll of the die, there are only two outcomes regarding the event we are interested in: either an odd number appears (success) or it does not (failure). The odd numbers on a fair die are 1, 3, and 5, making the probability of success \( p = \frac{3}{6} = \frac{1}{2} \).
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Independent Trials: The rolls of the die are independent of each other. The outcome of one roll does not affect the outcome of another roll.
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Constant Probability of Success: The probability of rolling an odd number remains the same across all trials, which is \( p = \frac{1}{2} \).
Since all the criteria for a binomial distribution are met, we conclude that \( X \), the number of times an odd number appears when rolling a die 30 times, follows a binomial distribution with \( N = 30 \).