Please I need 4 replies to this discussion post… The theory of sampling is com

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Please I need 4 replies to this discussion post…
The theory of sampling is compiling, analyzing, and estimating data obtained from a randomly selected group to represent the whole population during a study. One of the major objectives of the sampling theory is to accurately and precisely find a subject from a free biased population and the best perfect representation to be tested of the entire target residents. Studying the entire population is difficult; therefore, only a small group of residents, known as a sample, is chosen to analyze the research. The sample range should not be more than thirty. The chosen group must-have characteristics comparable to the entire population to obtain inferences about the whole population (Miguel, 2012).
There are two divisions of the sampling theory; probability sampling is where elements from the population are selected randomly. The population element is allowed an equal and independent right to be included in the sample. Non-probability sampling, the elements are chosen using nonrandom methods to include in the research study. One example of the sampling theory would be taking a population of nurses from the entire country, then researching the nurses who were in the last three years. The sample population will be the population of nurses who were employed in the last three years. Another example is taking a population of cigarette smokers and giving them medicine to see if they stop smoking. The tested results will be the sample of smokers who have quit smoking (Sajid, 2020).
The extension of research outcomes or inferences obtained from a sample after research on a big population is known as generalizability. Regarding my previous research on the population of nurses, the research generalizes that the nurses employed in the last three years will be chosen. In the nursing research world, researchers study the whole population and come up with generalized results, making generalizability very big. The results may not assist anybody in life but may meet the need of the community.

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