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Determine whether the random variable X has a binomial distribution. If it does, state the number of trials N. If it does not,...Question
Determine whether the random variable X has a binomial distribution. If it does, state the number of trials N. If it does not, explain why not.
Ten cards are randomly drawn with replacement from a standard deck of 52. Let X be the number of Hearts drawn.
The random variable [has or does not have?] a binomial distribution.
Ten cards are randomly drawn with replacement from a standard deck of 52. Let X be the number of Hearts drawn.
The random variable [has or does not have?] a binomial distribution.
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GPT-4o mini
The random variable \( X \) does have a binomial distribution in this scenario.
Here's why:
1. **Number of Trials**: The experiment consists of drawing cards 10 times, which is fixed. This corresponds to \( N = 10 \) trials.
2. **Two Possible Outcomes**: For each draw, there are two possible outcomes regarding the event of interest (drawing a Heart or not drawing a Heart).
3. **Constant Probability**: Since the cards are drawn with replacement, the probability of drawing a Heart remains constant with each trial. The probability of drawing a Heart from a standard deck of 52 cards is \( \frac{13}{52} = \frac{1}{4} \).
4. **Independence**: Each draw is independent because the drawing is done with replacement.
Given these points, we conclude that \( X \) follows a binomial distribution with \( N = 10 \) trials, and the probability of success (drawing a Heart) is \( p = \frac{1}{4} \).
Here's why:
1. **Number of Trials**: The experiment consists of drawing cards 10 times, which is fixed. This corresponds to \( N = 10 \) trials.
2. **Two Possible Outcomes**: For each draw, there are two possible outcomes regarding the event of interest (drawing a Heart or not drawing a Heart).
3. **Constant Probability**: Since the cards are drawn with replacement, the probability of drawing a Heart remains constant with each trial. The probability of drawing a Heart from a standard deck of 52 cards is \( \frac{13}{52} = \frac{1}{4} \).
4. **Independence**: Each draw is independent because the drawing is done with replacement.
Given these points, we conclude that \( X \) follows a binomial distribution with \( N = 10 \) trials, and the probability of success (drawing a Heart) is \( p = \frac{1}{4} \).
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