Probablity - in 1993 A.N. Kolmogrov, a Russian mathematician tried succesfully to relate the theory of probability eith the set theory by axiomatic aproch.

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.

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.