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DATASET FOR QUESTION LINK https://docs.google.com/document/d/198CNTJx-BQ5uYhLgogGOUMVthqu7T8Js/edit?usp=sharing&ouid=107097949746349881208&rtpof=true&sd=true FORMULA SHEET LINK https://drive.google.com/file/d/1X_8MjCkZ_hoOjrO2KCT_SGnrsZ9yT3TN/view?usp=sharing A study was commissioned to investigate the characteristics of students in a second-year statistics unit. Data

DATASET FOR QUESTION LINK

https://docs.google.com/document/d/198CNTJx-BQ5uYhLgogGOUMVthqu7T8Js/edit?usp=sharing&ouid=107097949746349881208&rtpof=true&sd=true

FORMULA SHEET LINK

https://drive.google.com/file/d/1X_8MjCkZ_hoOjrO2KCT_SGnrsZ9yT3TN/view?usp=sharing

A study was commissioned to investigate the characteristics of students in a second-year statistics unit. Data was collected on 60 students and the following variables were recorded.

Column 1GPAWhat was your approximate GPA (1.0 to 7.0)

Column 2GenderWhat is your gender? (Male = 0, Female = 1)

Column 3WorkHrsAbout how many hours per week do you expect to work at an outside job this semester?

Column 4DistanceHow far from campus do you live, in kilometers? (0 if on campus)

Column 5ExerciseHow often do you exercise (aerobics, running, etc)? (1 = Not At All, 2 = Sometimes, 3 = Regularly)

Column 6IpadDo you have an iPad? (1 = No, 2 = Yes)

Question 1

Test, at the 5% level of significance, whether the average Distance in Kilometer is different for females compared to males.

[You may assume that the unknown population standard deviations for males and females are equal]

Question 2

Test, at the 5% level of significance, whether Gender is dependent on how often they exercise?

Question 3

Can we conclude, at a 5% level of significance, that a linear relationship exists between the Work Hours (y) and Distance (x) a person lives from campus?

USE THE DATASET IN THE ABOVE LINK AND FORMULA SHEET FOR THE FOLLOWING QUESTIONS.

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