Sampling Distribution and Confidence Interval Reaction Paper

Sampling Distribution and Confidence Interval Reaction Paper
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Sampling Distribution and Confidence Interval Reaction Paper
The case scenario indicates that the referenced poll shows 53 percent of those surveyed supported the need to make smoking illegal. My first reaction was that the poll outcome does not predict the result that would be recorded if the whole population participated in the survey. Surveys only derive a sample from the entire population. Therefore, the poll outcome of 53 percent does not portray the “true” status quo that could be attained if everyone had participated in the survey. The sampling error margin communicates how the country would reasonably anticipate that the poll outcome falls compared to the actual population perception concerning the subject being surveyed. Berkeley Haas’s study indicated that polls are mostly 95 percent confident by only 60 percent accurate (Counts, 2020). Therefore, a plus or minus th...