Question

describe the methods of non random sampling​

Answer 1

Answer:

Neyman in 1934 published a paper that laid the basis of sampling theory which explained the advantages of random sampling against purposive sampling in his papers example of an unsuccessful purposive sub sample drawn from the 1921 Italian head count by Italian census bureau. The non-probability sampling is purposive in nature that has to do with sample in addressing the questions for research. The research sample question is a qualitative type. The non-probability random sampling is limited on transferring of judgement considerations,

generalization of frame of research finding, based on qualities evaluators' question. Non-probability sampling is focused on external value for transferring of issues.

Answer 2

Answer:

Explanation:

IN other words, a nonrandom sample tells us about a population, but we don't know how precisely: we can't determine a margin of error or a confidence level. These types of sampling methods include availability sampling, sequential sampling, quota sampling, discretionary sampling and snowball sampling.