Suppose cluster sampling were being used to survey users of a particular social networking site. [tex]28 \%[/tex] of the entire population of the United States uses this site. Based on the table below, which city would be considered the best cluster to use for this survey?

\begin{tabular}{|c|c|}
\hline
City & \begin{tabular}{c}
Percentage of population \\
that uses site
\end{tabular} \\
\hline
Denver & [tex]16 \%[/tex] \\
\hline
Honolulu & [tex]9 \%[/tex] \\
\hline
Miami & [tex]46 \%[/tex] \\
\hline
Philadelphia & [tex]27 \%[/tex] \\
\hline
\end{tabular}

A. Miami
B. Denver
C. Honolulu
D. Philadelphia



Answer :

To determine the best city to use as a cluster for our survey, we need to find the city whose percentage of population using the social networking site is closest to the national average of 28%. Here are the percentages of the population in each city:

- Denver: 16%
- Honolulu: 9%
- Miami: 46%
- Philadelphia: 27%

To find the city whose percentage is closest to 28%, we calculate the difference between each city's percentage and the national average (28%):

1. Denver: [tex]\( |16\% - 28\%| = 12\% \)[/tex]
2. Honolulu: [tex]\( |9\% - 28\%| = 19\% \)[/tex]
3. Miami: [tex]\( |46\% - 28\%| = 18\% \)[/tex]
4. Philadelphia: [tex]\( |27\% - 28\%| = 1\% \)[/tex]

After calculating the differences, it is clear that the smallest difference is with Philadelphia. The difference is just 1%, making Philadelphia the closest match to the national average.

Thus, the city that would be considered the best cluster to use for this survey is:

D. Philadelphia