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Random Samplings. The U.S. Census Bureau is the leading source of data about the population and economy of the United States. While the Census Bureau is best known for conducting a national headcount once every 10 years, the agency is continually conducting surveys
Census is the process of collecting data from every member of a population, while sampling is the process of selecting a subset of individuals from a population to represent the whole. Census data is more accurate and precise than sampling data, as it includes information from every member of the population.
It is a list of all those within a population who can be sampled, and may include individuals, households or institutions. Importance of the sampling frame is stressed by Jessen and Salant and Dillman. In many practical situations the frame is a matter of choice to the survey planner, and sometimes a critical one.
The term primary sampling units (PSUs) refers to the sampling units chosen in the first stage of selection. The term secondary sampling units (SSUs) refers to sampling units within the PSUs that are chosen in the second stage of selection.
For example, imagine you want to survey college students. You might define your target population as all current college students within your state. The sampling frame operationalizes your population definition by explicitly listing all current college students in your state and their contact information.
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In a census, data is sought for an entire population, hence the intended sample size is equal to the population. In experimental design, where a study may be divided into different treatment groups, there may be different sample sizes for each group.
If you are planning a health survey in your community in which all members of the population are interviewed, this is called census sampling. It requires you to define the boundary that your study will cover (e.g. the boundary of your kebele) and then interview all the people within it.

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