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a phenomenon is observed many, many times under identical conditions. the proportion of times a particular event a occurs is recorded. this proportion represents: the probability of the event a the distribution of the event a the variance of the event a the correlation of the event a
The proportion of times an event occurs in repeated identical - condition experiments is the empirical probability of that event. Probability measures the likelihood of an event happening. The distribution refers to how probabilities are spread across possible outcomes, variance measures the dispersion of data related to the event, and correlation measures the relationship between two variables. Here, the described proportion is the probability of event A.
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the probability of the event A