Simple random sampling techniques become more appropriate for homogeneous population groups.
Sampling is a statistical procedure that is concerned with the selection of certain individual observations from the target population. It helps to make statistical inferences about the population.
There are two types of sampling
 Probability sampling
 Nonprobability sampling
Simple random sampling:
 Simple random sampling is a type of probability sampling.
 It is a sampling procedure where each element in the population will have an equal chance of being selected in the sample.
 This process is simple because it requires only one stage of the sample selection process.
 Here we number each frame unit from 1 to N.
 Then use a random number table or a random number generator to select n distinct numbers between 1 and N, inclusively.
 It is easier to perform for small populations but cumbersome for large populations.
Sampling technique 
Method 
Systematic sampling 
 It is convenient and relatively easy to measure.
 Here an initial starting point is selected by a random process; then every nth number on the list is selected.

Stratified sampling 
 Here the population is divided into nonoverlapping subpopulations called strata.
 A random sample is selected from each stratum.
 Each stratum is then sampled as an independent subpopulation, out of which individual elements can be randomly selected.
 Every unit in a stratum has the same chance of being selected.

Proportionate sampling 
 It is a type of stratified sampling
 The percentage of the sample taken from each stratum is proportionate to the percentage that each stratum is within the population.
