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Develop An Experimental Probability Distribution

True or False: Experimental probability distributions require a large number of trials to be accurate representations of theoretical probabilities.

True or False: The sum of probabilities in an experimental probability distribution is always equal to 1.

True or False: Experimental probability distributions are useful for estimating probabilities when theoretical probabilities are not available.

True or False: In an experimental probability distribution, the probabilities assigned to each outcome are based on subjective opinions.

True or False: In an experimental probability distribution, the probability of an event can exceed 1.

True or False: The experimental probability of an event is calculated as the number of favorable outcomes divided by the total number of outcomes.

True or False: Experimental probability is more reliable than theoretical probability in predicting future outcomes.

True or False: In an experimental probability distribution, the probabilities are assigned based on mathematical models.

True or False: Theoretical and experimental probability distributions are always identical.