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.
Population
Collection of data
Sample
Subgroup coming from a population
Parameter
Numerical measurement describing some characteristics of a population.
Statistic
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
Countable
Continuous Data
Round off