Exercice On a demandé à des élèves le nombre de films qu'ils ont vu au cinéma depuis la rentrée. Leurs réponses sont présentées dans le diagramme en bâtons ci-contre. 1. Que signifie lé sixième rectangle ? 2. Combien d'élèves ont été interrogés ? 3. Combien de films ces élèves ont-ils vu en moyenne? Préciser le calcul. 4. Déterminer l'étendue de cette série. 5. Déterminer le nombre médian de films vus. 6. Calculer le pourcentage des élèves qui ont vu au moins 4 films.

Suppose you are interested in whether or not the students at your high school would favor a grading system in which students may receive final grades of \( \mathrm{A}+, \mathrm{A}, \mathrm{A}-, \mathrm{B}+, \mathrm{B}, \mathrm{B}-, \mathrm{C}+, \mathrm{C}, \mathrm{C}- \), and so on. Describe how you might obtain a random sample of 100 students from the entire student population. Choose the correct answer below. A. Assign each student at the school a number, write each number on a card, and place all of the cards in a box. Then, randomly select 100 cards. B. Post an advertisement requesting the assistance of 100 students. Among the first 100 students to arrive, select them in a random order. C. Sort the students by their overall average grades. Then, select the 50 students with the best grades and the 50 students with the worst grades. D. Determine the ten streets on which the most students at the school live. Then, select ten students from each street. If fewer than ten students live on a street, fill in the spot with a randomly selected student.

Based on a sample of 70 people, the sample mean GPA was 3.43 with a standard deviation of 0.03 The p-value is: \( \square \) (to 2 decimals)

\#7 A set of data has correlation coefficient \( r \). For which value of \( r \) would the average magnitude of the residuals be the smallest? a. \( r=-0.034 \) b. \( r=0.472 \) c. \( r=0.908 \) d. \( r=0.952 \)

\#2 A survey was taken comparing the number of hours per week students spent studying and their performance on an exam. If a linear regression was performed and the correlation coefficient was -0.017 , what can be said about these results? a. As the number of hours spent studying increases, student exam performances will likely not change. b. As the number of hours spent studying inrceases, student exam performances will probably increase. c. As the number of hours spent studying increases, student exam performances will probably decrease. d. There is little evidence of a linear relationship between the number of hours spent studying and student exam performances.

Nance Layla Maizonet \#1 Which of the following correlation coefficients indicates the strongest relationship between two variables? a. -0.535 b. -0.534 c. 0.418 d. -0.816 \#2 A survey was taken comparing the number of hours per week students spent studying and their performance on an exam. If a linear regression was performed and the correlation coefficient was 0.017 , what can be said about these results?