The process of selecting a part of the cumulative in order to acquire statistical information from a given data is known as sampling. Sampling is done in order to acquire maximum amount of information about a population.

**What is a population and sample?**

The cumulative or the aggregate obtained from such a data is known as population whereas, the selected part for sampling is known as a sample. The population obtained from a data is defined as finite or infinite, based upon its size or to be precise, on the number of members.

A sample is analysed in order to acquire knowledge about the probability distribution of a variable of a population.

Despite applying great efforts while sampling, there might be some inconsistency where the characteristics of a population cannot be interpreted correctly. This is known as sampling error.

**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
- Random variable
- Binomial distribution

**Links of Next Statistics Topics:-**

- 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