Random variables - A real valued function defined on a sample -space is called a randon - variable .
Sample space- A sample space of a random experiment is the set of all possible outcomes of that experiment and is denoted by S.
for example- if a coin is tossed then there are two possibilities either we shall get a head or tail . we denoted here head (H) and tail(T).
Exhaustive events- All possible outcomes in a trial are called exhaustive events.
Sample Point:- Every element of the sample space is called a sample point. and it it is contains finite number of point then its is called finite sample point.for example in a coin H and T.
Events:- Of all the possible outcomes in the sample space of an experiment some outcomes satisfy a specified description , it is called an event and its denoted by E.
Certains and impossible Events:- if S is a sample space then S and Φ are both subset of S and both are events.so S is called certains events and Φ is called impossible events.