Empirical Rule
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
Also known as the 68-95-99.7 Rule, it states that for a normal distribution, nearly all data will fall within three standard deviations of the mean.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed.
The study of the principles that govern human behavior, including how people respond to stimuli and learn from their environment.
The use of statistical techniques and algorithms to analyze historical data and make predictions about future outcomes.
A framework that combines multiple theories to explain and predict behavior, focusing on intention, knowledge, skills, environmental constraints, and habits.
A design approach that uses data, algorithms, and predictive analytics to anticipate user needs and behaviors, creating more personalized and effective experiences.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
The process of making predictions about future trends based on current and historical data.
A predictive model of human movement that describes the time required to move to a target area, used to design user interfaces that enhance usability.