Difertatialling between parompten and vatistics. At a TV assembling focility, the Quality Assurance (QA) department tested a nandam selection of 600 TV's assembled in March. The tested TV's had an average retall price of $\$ 450,25 \%$ had some type of defect, and 6 did not power up at all. The plant manager compared that to the total of $7535 \mathrm{TV} / \mathrm{s}$ that were assembled during the month of March. They had an average ratal price of $5420,2.3 \%$ hat betn reported de rective by customes, and 90 did not power up af int (a) For the QA department's tests, identify the oopulation and the sample Population: (Choose one) (Choots one) (b) Choose whether each number described below is a parameter or a statstic for the QA deparment's tests. \begin{tabular}{|c|c|c|} \hline Number & Parameter & Statistic \\ \hline The 6 TV's of the random selection of 600 TVs thot did not power up at all & a & F \\ \hline The averoge retail price of $\$ 420$ of all the TV's assembled during the month of March & 8 & 67 \\ \hline The $2.5 \%$ of the random selection of 600 TVs found to be defective & 2 & 0 \\ \hline \end{tabular} Explanotion Check:
Solution
Step 1 ：The question seems to be asking about the concepts of population, sample, parameter, and statistic in the context of a TV assembling facility's Quality Assurance (QA) department's tests. However, the question is not clearly written and contains several errors and ambiguities. Here is an attempt to answer the question based on what can be understood from it. (a) For the QA department's tests, identify the population and the sample. Population: The population would be all the TVs assembled during the month of March, which is 7535 TVs. Sample: The sample would be the random selection of 600 TVs that the QA department tested. (b) Choose whether each number described below is a parameter or a statistic for the QA department's tests. - The 6 TVs of the random selection of 600 TVs that did not power up at all: This is a statistic because it is a measure derived from the sample of 600 TVs. - The average retail price of $420 of all the TVs assembled during the month of March: This is a parameter because it is a measure derived from the entire population of TVs assembled in March. However, there seems to be a discrepancy in the question as it previously stated the average retail price as $5420. - The 2.5% of the random selection of 600 TVs found to be defective: This is a statistic because it is a measure derived from the sample of 600 TVs. Please note that the question seems to contain several errors and ambiguities, and the answers provided are based on the best interpretation of the question.
