Abstract
A commonly used statistical measure is the measurement of probability.
Probability is governed by both additive and multiplicative rules. These rules determine
if events are independent of one another or dependent on previous or related outcomes.
Conditional probability governs events that are not independent of one another and
helps researchers to better make predictions about future datasets.
Keywords: Conditional probability, Dependent, Independent, Probability
Related Books
Boundary Element Methods for Heat Transfer with Phase Change Problems: Theory and Application
On Generalized Growth rates of Integer Translated Entire and Meromorphic Functions
Advanced Mathematical Applications in Data Science
Advanced Calculus - Fundamentals of Mathematics
Advanced Numerical Methods for Complex Environmental Models: Needs and Availability
Advances in Time Series Forecasting
Advances in Time Series Forecasting
Current Developments in Mathematical Sciences
Current Developments in Mathematical Sciences
