Describe the relationship between a sample and the population (both target and accessible) in a research study and explain the importance of obtaining representative, as opposed to biased, samples.
The relationship of sample and population and to understand the importance to get a sample that best represents the population.
Definition of population: it includes each and every subject on which the study is done. For example, we say average SAT score in year 2018, then all the students who appeared for SAT in the year 2018 become the population for this particular research. The population can extend to mere a count of 100s or may be go to millions. It depends on the research and the extent of region it covers.
Definition of Sample: A sample is a selected set of units from the vast population. These are those set of units on which the research would be conducted. They are a part of the population. A sample serves as the best representative of the population under study. They are expected to carry the same features as the main population at large. That is why by studying few units of the population in the sample we expect to draw inference about the complete population. For example, for the research on average SAT score in year 2018, we can select a random sample of 500 SAT appear ants in the same year and find their average score...
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