How is the marginal probability computed?

The marginal probability represents the likelihood of a single event occurring without consideration of any related or dependent events. It can be computed by taking the number of occurrences of the specific event and dividing it by the total number of observations in the sample space. This method provides the probability of that event in relation to the overall context, which is essential for understanding the event's significance within a larger dataset.

In this scenario, option B succinctly captures this process by stating that it involves dividing the number of times the event occurred by the total number of times it could have occurred. This approach directly reflects the basic definition of probability, which is the ratio of favorable outcomes (the occurrence of the event) to all possible outcomes (the total occurrences in the sample).

The other options describe different calculations or interpretations that do not align with the standard definition of marginal probability, leading to potential misunderstandings of how this important statistical measure functions.