To help account for variability, the pollster used a simple random sample.
Sampling is the selection of a subset (a statistical sample) of people from within a statistical population in statistics, assurance, and survey procedures. the population's characteristics that were sampled. Obtaining samples that are typical of the population being researched is the objective of statisticians.
In situations where it is not practical to evaluate the complete population, sampling offers insights and is more cost-effective and time-efficient than doing so.
Each observation gives a number for one or more characteristics of certain things or people, including their size, location, color, or weight.
In survey sampling, especially in stratified sampling, ratings can be added to the results to take into consideration the sample design. The practice is guided by conclusions from statistical theory and probability theory.
Since 1000 people are randomly selected , hence we can say that the preference is simple random sample.
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