A statistics instructor at a large western university would like to examine the relationship (if any) between the number of optional homework problems students do during the semester and their final course grade. She randomly selects 12 students for study and asks them to keep track of the number of these problems completed during the course of the semester. At the end of the class each student's total is recorded along with their final grade. Problems 57 58 62 65 68 76 77 78 78 84 85 91 Grade 62 66 66 67 72 73 72 78 73 76 75 68 1. For this setting identify the response variable. For this setting, identify the predictor variable. 2. Find the following a. Compute the linear correlation coefficient r for this data set. b. Test for a significant linear correlation. c. Classify the direction and strength of the correlation. i. Direction: ii. Strength: d. Equation of the least-squares regression line. 84 e. What is the valid prediction range for this setting? f. Test the significant of the regression line. g. Use the regression equation to predict a student's final course grade if 75 optional homework assignments are done. h. Use the regression equation to predict a student's final course grade if 45 optional homework assignments are done.

Answer the questions

A statistics instructor would like to know whether it is worthwhile to require students to do weekly homework assignments. For one section of the statistics course, homework is assigned, collected and graded each week. For another section, the same problems are suggested each week, but the students are not required to turn in their homework. At the end of the semester, all students take the same final exam. The score distribution for the two sections are as follows:   With Homework          12      15        17        5         10 No Homework             12      21        28        25        14          Do these data indicate a significant difference between the score distributions for students with homework versus students with no homework? Test at the 5% level of significance.

Suppose the prevalence of "dance fever" at a college is 40% among women and 10% among men. If there are half as many men as women, what is the overall prevalence of dance fever at the college? What proportion of people without dance fever at that college are women?

You want to determine how many loaves of Bread are sold per day at Schat’s Bakery. You stand outside for ten different randomly selected days, count the number of loaves, and then average them. You come up with 421 loaves per day. In reality, Schat’s keeps records of how many loaves they sell per day, and in they averaged 395 loaves per day. Describe what the population is in the above example?

Grade points are assigned such that an A receives 4 points, a B receives 3 points, a C receives 2 points, a D receives 1 point, and a F receives 0 points. Grades are weighted according to credit hours (units). If a student receives an A in a four-unit class, a D in a two-unit class, a B in a three-unit class and a C in a three-unit class, what is the student's grade point average? O A. 2.75 O B. 1.75 O C. 3.00 O D. 2.50 Click to select your answer. DELL XXX EVD disc RW DELL

I need to find the population of the study. I know the population of the study is the group as a whole being researched. My topic is: The average annual income of states and the average cost of a four-year college degree. What would the population of the study be? All of the states? I am just confused.

For a statistics class project, Jonathan and Crystal held an ice-cream-eating contest. They randomly selected 29 males and 35 females from their large high school to participate. Each student was given a small cup of ice cream and instructed to eat it as fast as possible. Jonathan and Crystal then recorded each contestant's gender and time (in seconds), as shown in the dotplots. : ● Male Female 15 75 90 105 30 45 60 Time to eat ice cream (sec) Do these data give convincing evidence of a difference in the population means at the a = 0.10 significance level? State appropriate hypotheses for performing a significance test. Be sure to define the parameters of interest. = Ho: M1 M2 = 0, Ha M₁ −μ₂ > 0, where μ₁ = the true mean time it takes male students to eat a small cup of ice cream and μ₂ = the true mean time it takes for female students to eat a small cup of ice cream. Ho: M1 - M₂ = 0, Ha M₁ M₂ < 0, where μ₁ = the true mean time it takes male students to eat a small cup of ice cream and…

Samantha took an exam in her statistics class and received 90 out of 100. Samantha thought that was a good score, but she wanted to know how high her score was in relation to the rest of the class. Her professor said her Z-score was -0.29. How should Samantha interpret her Z-score? a. Samantha’s score is 0.29 points above the class mean.b. Samantha’s score is 29% above than the class mean.c. Samantha’s score is 0.29 standard deviations above the class mean.d. Samantha’s score is 0.29 standard deviations below the class mean.

Scenario: The following table lists the typing speed as measured by a standard typing test for 12 college students, along with the number of pages they had to type for their Sociological Research Methods class.  Use the data to answer the Three questions listed below.  Make sure that you summarize and report if the results were significant using the F ratio formula. Report your answers in the Computed Value Tables. Student Number of pages typed Typing speed Chris 37 73 Mary 6 24 Paul 12 36 Juan 24 72 Marcel 16 50 Olga 7 19 Ni 22 49 Nima 4 6 Sari 34 48 Jarrod 32 59 Kevin 17 38 Lisa 8 16 Computed  Values Record the Results for each value ∑x 490 ∑y 219 ∑xy 10662 SSx 4159.66 SSy 1210.25 SP 1719.5 r 0.76636 a 1.37 b 0.41388 Regression Equation     Computed values Compute and record   SS residual 499.4515…