What kind of outcomes does a binomial experiment feature?

A binomial experiment is characterized by having two possible outcomes for each trial. This is fundamental to its definition, as it typically involves repeated trials where each trial results in one of two outcomes, often referred to as "success" and "failure." For example, when flipping a coin, the outcomes can be heads or tails; in a quality control scenario, an item can either be defective or not defective.

This framework allows for calculations related to the likelihood of achieving a certain number of successes in a fixed number of trials, adhering to a specific probability for each individual trial. The simplicity of having just two outcomes is what enables the use of the binomial probability formula to analyze and predict results effectively.

The other options reflect misunderstandings of the binomial experiment conditions: having three potential outcomes wouldn't fit the binomial model, continuous outcomes pertain to different types of distributions altogether (like normal distributions), and while multiple independent outcomes could occur in more complex scenarios, they do not describe the fundamental nature of a binomial experiment, which remains limited to two outcomes per trial.