When explaining about Independent event we’ll consider two events first and in a space. For example, if those two events are A and B respectively,and they are situated in a space S then they are said to be independent. But remember, if P (AB) = P (A).P (B).

So separate them one by one as:

P(A) = P(A *I *B) = P(A *I *B)

P(B) = P(B *I *A)= P(B *I *A)

For *n *independent events A_{1},A_{2 },*… ,A _{n }*

P (A_{1}… A_{2}···A_{n}) = P (A_{1}) P (A_{2}) … P (A_{n}).

**Links of Previous Main Topic:-**

- Introduction to statistics
- Knowledge of central tendency or location
- Definition of dispersion
- Moments
- Bivariate distribution
- Theorem of total probability addition theorem

**Links of Next Statistics Topics:-**

- Random variable
- Binomial distribution
- What is sampling
- Estimation
- Statistical hypothesis and related terms
- Analysis of variance introduction
- Definition of stochastic process
- Introduction operations research
- Introduction and mathematical formulation in transportation problems
- Introduction and mathematical formulation
- Queuing theory introduction
- Inventory control introduction
- Simulation introduction
- Time calculations in network
- Introduction of game theory