Español

At a TV assembling facility, the Quality Assurance (QA) department tested a random selection of [tex]600 \text{ TVs}[/tex] assembled in March. The tested TVs had an average retail price of [tex]\$450[/tex], [tex]2.5\%[/tex] had some type of defect, and 6 did not power up. The plant manager compared that to the total of [tex]7535 \text{ TVs}[/tex] that were assembled during the month of March. The average retail price was [tex]\$420[/tex], [tex]2.3\%[/tex] had been reported defective by customers, and 90 did not power up at all.

(a) For the QA department's tests, identify the population and the sample.
- Population: All the [tex]7535 \text{ TVs}[/tex] assembled during the month of March.
- Sample: The random selection of [tex]600 \text{ TVs}[/tex].

(b) Choose whether each number described below is a parameter or a statistic for the QA department's tests.

\begin{tabular}{|l|c|c|}
\hline
Number & Parameter & Statistic \\
\hline
\begin{tabular}{l}
The 90 TVs of all the TVs assembled during the month \\ of March that did not power up at all
\end{tabular} & \checkmark & \\
\hline
\begin{tabular}{l}
The [tex]2.5\%[/tex] of the random selection of 600 TVs found to \\ be defective
\end{tabular} & & \checkmark \\
\hline
\begin{tabular}{l}
The average retail price of [tex]\$420[/tex] of all the TVs \\ assembled during the month of March
\end{tabular} & \checkmark & \\
\hline
\end{tabular}