Success probability is the likelihood that a specific event will occur in a given experiment or trial, typically expressed as a number between 0 and 1. This concept is fundamental in understanding distributions, particularly in cases involving binary outcomes where only two results are possible: success or failure. It plays a crucial role in determining the characteristics of discrete probability distributions, influencing calculations for expected values and variance.
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