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For SLCC Students, is Age Related to How Many Hours a Week They Study?

For SLCC Students, is Age Related to How Many Hours a Week They Study?. Group 2 Carrie Batmen, Thor Church, Tiffany Kavanaugh , Jennifer McCosh , Toni Cerna , and Erica Cozad. STUDY DESIGN. Sampling Method: Systematic Sampling •Initially sampled 3 rd student, then

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For SLCC Students, is Age Related to How Many Hours a Week They Study?

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  1. For SLCC Students, is Age Related to How Many Hours a Week They Study? Group 2 Carrie Batmen, Thor Church, Tiffany Kavanaugh, Jennifer McCosh, Toni Cerna, and Erica Cozad

  2. STUDY DESIGN Sampling Method: Systematic Sampling •Initially sampled 3rd student, then •Sampled every 4th student until sample size was met. •Sample size of 100 “traditional” SLCC students.

  3. Survey Questions 1. Are you taking classes on campus at SLCC? 2. Are you taking at least 12 credit hours? 3. How old are you? 4. How many hours a week do you study?

  4. SAMPLE SUBJECTS Who were our sample subjects: •matriculated ”traditional” SLCC students ―taking at least 12 credit hours ―with at least 1 on campus class •campuses of student sampling: ―Redwood ―South City ― South Jordan ―Sandy

  5. STATISTICS • Age • Hours of studying per week STANDARD DEVIATION 6.303620492 MINIMUM 0 MAXIMUM 40 QUARTILE1 6 MEDIAN 10 QUARTILE3 13.75 RANGE 40 MODE 10 OUTLIERS 30,40 STANDARD DEVIATION 7.046304282 MINIMUM 17 MAXIMUM 46 QUARTILE1 20 MEDIAN 24 QUARTILE3 29 RANGE 29 MODE 19 OUTLIERS 45,45,46

  6. HISTOGRAMS Hours Studying Per Week Age

  7. BOXPLOTS

  8. BOXPLOTS

  9. Linear Correlation Between the Variables Data for Correlation between age and hours of homework per week Correlation Coefficient: r=0.0042 Line of regression: ŷ= 0.0037x + 10.339

  10. C T R S T L T P A E O

  11. CONCLUSIONS From all of the statistical data, the two variables; age and hours of homework per week; have no linear correlation. This is determined by the way that the graphs are shaped and the relationship of the two data points on the scatterplot. The linear correlation coefficient r=0.0042 means that the closer the number is to zero the two data points have no linear correlation.

  12. CREDITS Carrie Bateman- Scatter Diagram page, Box plot page, main group project page with study question. Toni Cerna- histogram page. Tiffany Kavanaugh- Study design page, study question page, sample subjects, page. Thor church- statistical data for age page, statistical data for study time page. Erica Cozad- results for comparison of age and study time page. Jennifer McCosh- Compilation, animation and design of power point pages and correcting errors, conclusions page of correlation.

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