Probability
Learn how random experiments, outcomes, sample points and sample spaces form the foundation for every elementary probability calculation.
Topic article hub
6 bilingual articles
Probability Basics: Random Experiment and Sample Space
Learn how random experiments, outcomes, sample points and sample spaces form the foundation for every elementary probability calculation.
Open article →Probability Tree Diagrams and Outcome Counting
Build tree diagrams stage by stage, read complete paths as ordered outcomes and count sample points without missing or repeating cases.
Open article →Probability Events, Trials and Basic Event Types
Distinguish outcomes, events and trials, then identify equally likely, certain and impossible events from their sample-space conditions.
Open article →Mutually Exclusive, Exhaustive and Complement Events
Use sets to identify mutually exclusive, exhaustive, complementary and elementary events and avoid confusing disjointness with independence.
Open article →Classical Probability Formula, Bounds and Special Values
Apply P(E)=n(E)/n(S) only to finite equally likely outcomes, interpret every symbol and verify that the answer lies between 0 and 1.
Open article →Probability Complement Rule and Problem-Solving Checks
Use the complement rule P(not E)=1-P(E), count the easier side and follow a sample-space, event, count, divide and verify routine.
Open article →Article access
Preview freely, then unlock focused reading
Each permanent article page includes its summary, learning context and sources. Registration unlocks all complete bilingual articles for 24 hours; Annual All Access continues afterward for ₹1,499/year.