Multinomial distribution

The multinomial distribution is a statistical model that describes the probabilities of different outcomes in experiments where each outcome belongs to one of several categories. Imagine rolling a die multiple times: each face of the die (1 through 6) represents a category. The multinomial distribution helps us understand the likelihood of rolling each number a certain number of times over many rolls. It's useful in various fields, including marketing (predicting customer choices) and genetics (analyzing trait distributions), where outcomes can fall into three or more categories rather than just two.