To simply put, the probability is a mathematical tool to measure the uncertainty of numerous events or measure the chances of an event's occurrence. Under probability, the concepts covered are Random Experiments that include outcomes and sample spaces, i.e. set representation.
The other sub-topics include events comprising probability of happening of events in the context of 'and', 'or', and 'not' events, mutually exclusive events, and exhaustive events. The axiomatic probability (also known as set-theoretic), and the connections established with other theories that have been taught in previous standards is also covered. To give a comprehensive understanding of this chapter, three exercises, and a miscellaneous exercise has been provided for practice. Topics explained under this chapter are:
Outcomes and sample space are described here along with the meaning of random experiment, contingent on the requisite conditions and associated terms.
Occurrence, types, algebra, mutually exclusive, and exhaustive events are sub-topics discussed here.
The axiomatic approach is just another method of drawing the probability of an event. Probability of an event, of equally likely results, of the event 'A or B', and of the event 'not A' are taught in this topic.
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