Answer:
Survey sampling is selecting members from a target population to be in a sample for a sample survey. Usually the survey is some type of questionnaire (i.e. in-person, phone or internet survey). ... Estimation: using estimators from the collected data to make inferences about the population as a whole.
A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research. ... Probability sampling methods include simple random sampling, systematic sampling, stratified sampling, and cluster sampling.
In survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection.
The best sampling method is always the one that could best answer our research question while also allowing for others to make use of our results (generalizability of results). When we cannot afford a random sampling method, we can always choose from the non-random sampling methods.
Explanation: I hope it helps I have just add some more so that you can have some idea :)
