There are mainly two methods of sampling which are random and nonrandom sampling. Random sampling is referred to as that sampling technique where the probability of choosing each sample is equal.
The sample that is chosen randomly is an unbiased representation of the total population. If at all, the sample chosen does not represent the population, it leads to sampling error.
Nonrandom sampling is a sampling technique where the sample selection is based on factors other than just random chance. In other words, nonrandom sampling is biased in nature.
Here, the sample will be selected based on the convenience, experience or judgment of the researcher.
Following are some of the points of difference between random sampling and nonrandom sampling




Random sampling is a sampling technique where each sample has an equal probability of getting selected 
Nonrandom sampling is a sampling technique where the sample selected will be based on factors such as convenience, judgement and experience of the researcher and not on probability 


Random sampling is unbiased in nature 
Nonrandom sampling is biased in nature 


Based on probability 
Based on other factors such as convenience, judgement and experience of researcher but, not based on probability 


Random sampling is representative of the entire population 
Nonrandom sampling lacks the representation of the entire population 


Never 
Zero probability can occur 


Random sampling is the most simple sampling technique 
Nonrandom sampling method is a somewhat complex sampling technique 
This was all about the concept of difference between random sampling and nonrandom sampling, which is important for Commerce students. For more such articles, stay tuned to BYJUâ€™S.
Also Check: 