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Mark spins a penny 100 times and it land head side up 41 times explain why marks experimental probability may be different from...Question
Mark spent a penny 100 times in land heads side up 41 times explain why Mark‘s experimental probability may be different from the theoretical probability of spinning a coin
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GPT 3.5
There are a few reasons why Mark's experimental probability may differ from the theoretical probability of spinning a coin:
1. Sample size: Mark only spun the coin 100 times, which may not be enough to accurately reflect the true probability of spinning a coin. The more times the coin is spun, the closer the experimental probability will likely be to the theoretical probability.
2. Chance variation: Even with a large sample size, there will always be some inherent variation due to chance. This means that the experimental results may not perfectly match the theoretical probabilities.
3. Bias: There may have been some bias in the way Mark spun the coin or recorded his results, leading to a difference between the experimental and theoretical probabilities.
Overall, experimental probability is based on observed results and may not always match up with theoretical probabilities, especially with a small sample size or other factors at play.
1. Sample size: Mark only spun the coin 100 times, which may not be enough to accurately reflect the true probability of spinning a coin. The more times the coin is spun, the closer the experimental probability will likely be to the theoretical probability.
2. Chance variation: Even with a large sample size, there will always be some inherent variation due to chance. This means that the experimental results may not perfectly match the theoretical probabilities.
3. Bias: There may have been some bias in the way Mark spun the coin or recorded his results, leading to a difference between the experimental and theoretical probabilities.
Overall, experimental probability is based on observed results and may not always match up with theoretical probabilities, especially with a small sample size or other factors at play.
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