Class 12 Statistics: Probability
Chapter 2.1: Probability — random experiments, sample space, events, the mathematical and statistical definitions of probability, and the laws of addition and multiplication. GSEB Class 12 Statistics.
Topics(6)
Random Experiment and Sample Space
2.1.1 Random Experiment and Sample Space — Learn the definition of a random experiment, its characteristics, and how to write sample spaces with the fundamental principle of counting. GSEB Class 12 Statistics notes with five solved illustrations.
Events
2.1.2 Events — Learn the definition of an event and all special events (impossible, certain, complementary, union, intersection, difference, mutually exclusive, exhaustive, elementary) with an interactive Venn lab. GSEB Class 12 Statistics notes with five solved illustrations.
Mathematical Definition of Probability
2.1.3 Mathematical Definition of Probability — Understand equiprobable events and favourable outcomes, apply P(A) = m/n on a live probability scale, and learn the important results and limitations. GSEB Class 12 Statistics notes with eight solved illustrations.
Law of Addition of Probability
2.1.4 Law of Addition of Probability — Discover why P(A ∪ B) subtracts the overlap, apply the three-event law, and solve board-style union problems. GSEB Class 12 Statistics notes with eight solved illustrations.
Conditional Probability and Multiplication Law
2.1.5 Conditional Probability and Multiplication Law — Shrink the sample space, apply P(A|B) = P(A∩B)/P(B), check independence, and solve board-style tree problems. GSEB Class 12 Statistics notes with nine solved illustrations.
Statistical Definition of Probability
2.1.6 Statistical Definition of Probability — Watch m/n converge as trials grow, learn P(A) = lim n→∞ (m/n), and understand when the statistical definition is the only workable one. GSEB Class 12 Statistics notes with two solved illustrations.