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By: Erin O’Connell, Staci Elliott, and Becca Rison.

Who is Really Making the Money?. By: Erin O’Connell, Staci Elliott, and Becca Rison. Main Question. If there was a significant difference between the proportions of students who have a job (that they work for at least 10 hours a week) and what type of English class they were in.

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By: Erin O’Connell, Staci Elliott, and Becca Rison.

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  1. Who is Really Making the Money? By: Erin O’Connell, Staci Elliott, and Becca Rison.

  2. MainQuestion • If there was a significant difference between the proportions of students who have a job (that they work for at least 10 hours a week) and what type of English class they were in. • If gender and grade type made a difference in these results

  3. Data • Simple Random Sample of English teachers and their class periods, using a list numbered from 1-16 • Randomly choose 6 English teachers, one for each grade and type of English class: • IC (Junior and Senior) • CP (Junior and Senior) • AP (Junior and Senior) • Distributed surveys to these 6 classes

  4. Survey Please circle one: Gender- Male Female Do you have a job (where you work at least 10 hrs a week)? Yes No - If yes, do you like your job? Yes No What grade are you in? Junior Senior Which type of English class are you currently taking? Integrated Communications College Prep Advanced Placement

  5. Possible Bias • Students in running start not accounted for • Not completely random since some of the classes were only taught by one teacher or the class period that was randomly chosen would not work out • Response bias

  6. Main Hypothesis • That the number of students in AP classes is not equal to the number of students that have jobs CP and IC classes, because of the different amounts of homework and projects that each type of class receives

  7. AP vs. IC CP X² There is not sufficient evidence to suggest that there is any difference in the number of jobs that AP students have compared to IC and CP P= .126085 X²= 2.34006A= .05

  8. 2-prop Z tests • We then ran two separate tests between AP vs. CP and AP vs. IC to get a clearer picture of our data. • AP vs. CP. AP vs. IC Ho: AP = CP Ho: AP = IC Ha: AP ≠ CP Ha: AP ≠ IC

  9. AP vs. CP (prop. Z) AP: 18/48 37.5% CP: 26/37 70.2% Interval (-.5288, -.1265) C: .95 Therefore we reject the null

  10. AP vs. IC (prop. Z) AP: 18/48 37.5 % IC: 19/35 54.28% Interval (-.3823, .0466) C: .95 Therefore we fail to reject the null

  11. Hypothesis: Test for Jr. vs. Sr. • Ho: There is no difference in number of jobs that Juniors have compared to Seniors • HA: There is a difference in number of jobs that Juniors have compared to Seniors

  12. Junior Vs. Senior (prop. Z) Juniors: 27/53 50.94% Seniors: 36/67 53.73% Interval: (-.2077, .1520) C: .95 There is not sufficient evidence to suggest that there is a difference in number of jobs that Juniors have compared to Seniors

  13. Hypothesis: Males Vs. Females Ho: There is no difference in number of jobs that female students compared to male students. Ha: There is no difference in the number of jobs that female students have compared to male students.

  14. Male vs. Female (prop. Z) Male: 35/65 53.84% Female: 28/55 50.90% Interval (-.2086,.1499) C= .95 Therefore we fail to reject the null

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