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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]27 \%[/tex] \\
\hline
Philadelphia & [tex]46 \%[/tex] \\
\hline
\end{tabular}

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


Sagot :

Let's analyze the given percentages of social networking site usage in different cities and determine which city would be the best cluster to use for a survey. This will be done by finding which city's percentage is closest to the overall 28% usage in the United States.

Here's the data provided:
- Denver: 16%
- Honolulu: 9%
- Miami: 27%
- Philadelphia: 46%

We start by calculating the absolute difference between the percentage of each city and the overall 28% for the United States.

1. Denver:
- Percentage of usage: 16%
- Difference from 28%: [tex]\( |16\% - 28\%| = | -12\% | = 12\% \)[/tex]

2. Honolulu:
- Percentage of usage: 9%
- Difference from 28%: [tex]\( |9\% - 28\%| = | -19\% | = 19\% \)[/tex]

3. Miami:
- Percentage of usage: 27%
- Difference from 28%: [tex]\( |27\% - 28\%| = | -1\% | = 1\% \)[/tex]

4. Philadelphia:
- Percentage of usage: 46%
- Difference from 28%: [tex]\( |46\% - 28\%| = | 18\% | = 18\% \)[/tex]

Now we compare the differences calculated:
- Denver: 12%
- Honolulu: 19%
- Miami: 1%
- Philadelphia: 18%

The city with the smallest difference from the overall percentage (28%) is Miami, with a difference of just 1%.

Thus, the best city to choose as a cluster for the survey to most closely represent the 28% usage in the United States is:

D. Miami