Probability Mathematics 1.6.9

This application dedicated to probability is a comprehensive effort from an experienced team of teachers and educators. It covers a wide range of probability topics and fundamentals of random processes. The application includes probability tutorials that can greatly benefit learners in grasping concepts such as:

• Probability introduction
• Deterministic experiment
• Probabilistic or random experiment
• Classical approach to probability
• Trial and elementary events
• Compound events
• Exhaustive number of cases
• Mutually exclusive events
• Equally likely events
• Favorable number of cases
• Independent events
• Classical definition of probability of an event
• Axiomatic approach to probability
• Sample space, event, elementary events, compound events
• Impossible and certain events
• Occurrence or happening of an event
• Mutually exclusive events and mutually exclusive and exhaustive system of events
• Favorable events and axiomatic definition of probability
• Addition theorems on probability and conditional probability
• Multiplication theorems on probability, independent events, multiplication theorem for independent events, addition theorem for independent events
• The law of total probability and Baye’s rule
• Random variable and its probability distribution.
• Random variable, binomial distribution, mean and variance of binomial distribution, mean of binomial distribution, variance of binomial distribution, relation between mean and variance.