Probability Mathematics

Developer's DescriptionBy Learner's SeriesThis application for probability is a great work from a team of teachers and educators.here we tried our best efforts to includes almost all...This application for probability is a great work from a team of teachers and educators.here we tried our best efforts to includes almost all topics of probability and basics of random process. This time probability tutorials also added with this application. Best to learn the topics of probabilities such asPROBABILITYINTRODUCTION, DETERMINISTIC EXPERIMENT, PROBABILISTIC OR RANDOM EXPERIMENT, CLASSICAL APPROACH TO PROBABILITY,TRIAL AND ELEMENTARY EVENTS, COMPOUND EVENTS,EXHAUSTIC NUMBER OF CASES,MUTUALLY EXCLUSIVE EVENTS, EQUALLY LIKELY EVENTS,FAVOURABLE 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,MUTUALLY EXCLUSIVE AND EXHAUSTIVE SYSTEM OF EVENTS,FAVOURABLE EVENTS,AXIOMATIC DEFINITION OF PROBABILITY,ADDITION THEOREMS ON PROBABILITY,CONDITIONAL PROBABILITY,MULTIPLICATION THEOREMS ON PROBABILITY, INDEPENDENT EVENTS, MULTIPLICATON THEOREM FOR INDEPENDENT EVENTS, ADDITION THEOREM FOR INDEPENDENT EVENTS, THE LAW OF TOTAL PROBABILITY, BAYES 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.