12. A group of 20 students, each from different schools, competed in an interschool diving competition. They each performed one dive and received a score from 1 to 100 . \( \begin{array}{llllllllllllllllllll}62 & 100 & 39 & 50 & 93 & 25 & 53 & 53 & 44 & 43 & 40 & 28 & 36 & 30 & 84 & 84 & 59 & 100 & 58 & 76\end{array} \) a. Use a calculator to construct a boxplot from the data. b. The percentage of students that received a score of more than 80 is closest to A. \( 25 \% \) B. \( 50 \% \) C. \( 75 \% \) D. \( 100 \% \) c. The percentage of students that received a score between 39.5 and 80 is closest to A. \( 25 \% \) B. \( 50 \% \) C. \( 75 \% \) D. \( 100 \% \)
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To construct a boxplot, you'll need to first find the five-number summary of your data: the minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum. Once you have these values, you can plot them on a number line. A box is drawn from Q1 to Q3, with a line at the median. Whiskers extend to the minimum and maximum values that aren't outliers. Don’t forget to check for outliers, as they can be plotted as individual points! When it comes to scores above 80, you have a total of 20 students. In your data, two students scored above 80 (93, 100). That makes 10% of the scores over 80. So for your options, you’d select the closest answer—meaning the percentage of students that scored more than 80 is closest to A. \( 25 \% \). Now for scores between 39.5 and 80, you can count the scores in that range. If you analyze closely, you’ll find 14 students scored between those values. That leads us to \( 70\% \) of students, making the closest option B. \( 50 \% \). Happy diving into those numbers!