Success probability refers to the likelihood of achieving a successful outcome in a given experiment or trial, typically expressed as a number between 0 and 1. This concept is crucial in various discrete distributions, as it helps define the nature of outcomes, whether it’s a single trial or multiple independent trials. Understanding success probability allows for the calculation of expected values, variances, and the formulation of strategies based on the chances of success.
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