Theoretical probabilities are calculated based on ideal conditions and assume that all outcomes are equally likely, while experimental probabilities are derived from actual trials and can be influenced by various factors. Differences between the two can arise due to random variation, sample size, or experimental errors. Additionally, real-world conditions may introduce biases or limitations that deviate from theoretical assumptions. As more trials are conducted, experimental probabilities typically converge toward theoretical probabilities due to the Law of Large Numbers.
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