In which context is 'event' specifically used?

The term 'event' in the context of probability and statistics is typically used to describe a specific outcome or a particular result that can occur from a random experiment. In this sense, when we talk about an event, we are focusing on one distinct result that emerges from the overarching process. This understanding aligns with how events are structured mathematically, where events are subsets of outcomes falling under a larger sample space.

In contrast, the other definitions don’t align precisely with the typical use of 'event' in statistics. Describing a collection of outcomes pertains more to the concept of a sample or a set rather than an individual event. Discussing the entire sample space broadens the scope to include all possible outcomes rather than focusing on one. Finally, indicating favorable results only relates to a specific type of event (those that are favorable) but does not encompass the broader definition of an event in the general context of probability. Thus, defining 'event' as a single result in an experiment is accurate and captures its essence in probability theory.