Academic Integrity: tutoring, explanations, and feedback — we don’t complete graded work or submit on a student’s behalf.

omework: Ch4 HW online Save core: 0.2 of 1 pt %) 4.2.13 12 of 17 (17 complete) H

ID: 3274009 • Letter: O

Question

omework: Ch4 HW online Save core: 0.2 of 1 pt %) 4.2.13 12 of 17 (17 complete) HW Score: 75.77%, 12.88 of 17 pts , Question Help * A student at a junior college conducted a survey of 20 randomly selected full-time students to determine the relation between the number of hours of video game playing each week, x, and grade-point average, y. She found that a linear relation exists between the two variables. The least-squares regression line that describes this relation is y =-0.0589x + 2.9406. (a) Predict the grade-point average of a student who plays video games 8 hours per week. The predicted grade-point average is 2.47 (Round to the nearest hundredth as needed.) (b) Interpret the slope For each additional hour that a student spends playing video games in a week, the grade-point average will decrease by 0589 points, on average. (c) If appropriate, interpret the y-intercept. O A. The grade-point average of a student who does not play video games is 2.9406. O B. The average number of video games played in a week by students is 2.9406. O C. It cannot be interpreted without more information. lick to select your answer and then click Check Answer.

Explanation / Answer

Q1.

possibile chances (x)=28

sample size(n)=112

success rate ( p )= x/n = 0.25

Q2.

WITH 99%

Compute Sample Size

n = (Z a/2 * S.D / ME ) ^2

Z/2 at 0.01% LOS is = 2.576 ( From Standard Normal Table )

Standard Deviation ( S.D) = 15.8

ME =4

n = ( 2.576*15.8/4) ^2

= (40.701/4 ) ^2

= 103.535 ~ 104

WITH 90%

Compute Sample Size

n = (Z a/2 * S.D / ME ) ^2

Z/2 at 0.1% LOS is = 1.645 ( From Standard Normal Table )

Standard Deviation ( S.D) = 15.8

ME =4

n = ( 1.645*15.8/4) ^2

= (25.991/4 ) ^2

= 42.221 ~ 43

size is decreased