Answer:
Sampling theory is being with the field of statistics. It is linked with collection process, correlation, analysis, data interpretation of gathering random samples of population who fall under the study. The sampling theory is interlinked with probability theory that needs knowledge about the population parameters for drawing conclusions from random samples. Sampling theory is connected with the parameters of population for estimating the precision. There are different objectives of sampling theory such as statistical estimation for conduction study of unknown parameters linked with finite and infinite parameters. Samplings are of different types such as systematic sampling, random sampling and stratified sampling.
Explanation:
Sampling involves selecting a group of people, events, behaviors, or other elements with which to conduct a study. A sampling plan defines the process of making the sample selections; sample denotes the selected group of people or elements included in a study.
The basic concept of generalizability is simple: the results of a study are generalizable when they can be applied (are useful for informing a clinical decision) to patients who present for care. Clinicians must make reasoned decisions about generalizability of research findings beyond a study population.
In fact, generalizability is perhaps the key feature that distinguishes probability samples from non probability samples. Generalizability refers to the idea that a study's results will tell us something about a group larger than the sample from which the findings were generated.
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