Statistics Vocabulary

Random Sampling

Each member of the population has an equal chance of being selected.

Simple Random Sampling

A sample of n subjects is selected in such a way that every possible sample of the same size n has the same chance of being chosen.

Systematic Sampling

Select some starting point and then select every kth element in the population

Convenience Sampling

Use results that are easy to get

Stratified Sampling

Subdivide the population into at least two different subgroups that share the same characteristics, then draw a sample from each subgroup.

Cluster Sampling

Divide the population area into sections. Then randomly select some of those sections. Now choose all members from selected sections.


Collection of data


Subgroup coming from a population


Numerical measurement describing some characteristics of a population.


Numerical measurement describing some characteristic of a sample

Quantitative Data

Numbers representing counts or measurements

Categorical Data

Names or labels representing counts or measurements

Discrete Data


Continuous Data

Round off