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Hours Worked vs. Credit Hours

Hours Worked vs. Credit Hours. Is there a correlation between the number of hours a student works and the number of credit hours they are enrolled in?. Data Compiled and presented by: Anthony Garcia Alexandra Jensen Khalifa Wade Angi Luong. Purpose:.

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Hours Worked vs. Credit Hours

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  1. Hours Worked vs. Credit Hours Is there a correlation between the number of hours a student works and the number of credit hours they are enrolled in? Data Compiled and presented by: Anthony Garcia Alexandra Jensen Khalifa Wade AngiLuong

  2. Purpose: The purpose for the data we collected is to determine whether there is a correlation between the number of hours a student at Salt Lake Community College works and the number of hours they are currently enrolled in. Our group predicted that there would be a correlation between the two variables. We wanted to know if students who work full time have less time to spare on studying; if so, will they take fewer credit hours. Students who are working towards the completion of a degree would be more likely to work fewer hours and enroll in more credit hours per semester.

  3. Study Design: The data is to be collected based on random samples from 3 Salt Lake Community College campuses: 100 students from the Redwood Salt Lake Community College campus, 50 from the South City Salt Lake Community College Campus, and 50 from the Jordon Salt Lake Community College Campus. Students will be asked to answer a two question survey in which we ask them the Number of Hours Currently Enrolled In and Number of Hours Worked per Week. From this data we are going to determine if there is a correlation between the 2 variables or not.

  4. Histogram Comparisons

  5. Box Plot Comparisons

  6. Line of Regression Y= -0.1103x + 13.86 R= -0.4556 Simple linear regression results: Dependent Variable: Number of hours enrolled in Independent Variable: Number of hours worked per week Number of hours enrolled in = 13.860116 - 0.1103018 Number of hours worked per week R (correlation coefficient) = -0.4556 C.V. (Critical Value) = .195 @ 0.05 level of significance.

  7. Conclusion We were sure that there would be a correlation between our two variables because of our sampling method as well as our population being studied. Our conclusion is that between the number of hours students work and the number of credit hours enrolled, correlation exists because the absolute value of R (0.4556) is greater than our Critical Value (0.195). Our prediction seems to be accurate for the average student at Salt Lake Community College and is supported by the data we have acquired and tested.

  8. Credits: Data Collection: Anthony Garcia, Alexandra Jensen, Khalifa Wade, and AngiLuong. Reported data used: Anthony Garcia, Alexandra Jensen PowerPoint Design: Alexandra Jensen Presenters: Anthony Garcia, AngiLuong, and Khalifa Wade.

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