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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 - PowerPoint PPT Presentation
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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
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.
STUDY DESIGN
Survey Questions1. 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?
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
Age
STANDARD DEVIATION7.046304282
MINIMUM 17 MAXIMUM 46 QUARTILE1 20 MEDIAN 24 QUARTILE3 29 RANGE 29 MODE 19 OUTLIERS 45,45,46
Hours of studying per week
STANDARD DEVIATION6.303620492
MINIMUM 0 MAXIMUM 40 QUARTILE1 6 MEDIAN 10 QUARTILE3 13.75 RANGE 40 MODE 10 OUTLIERS 30,40
STATISTICS
Age Hours Studying Per Week
HISTOGRAMS
15 20 25 30 35 40 More0
5
10
15
20
25
30
35
40
Age (in Years)
Freq
uenc
y
0 5 10 15 20 25 30 35 40 More0
5
10
15
20
25
30
35
40
Number of Hours
Freq
uenc
y
BOXPLOTS
0 5 10 15 20 25 30 35 40 45
Hours of Homework Weekly Boxplot
BOXPLOTS
0 5 10 15 20 25 30 35 40 45 50
Student Age Boxplot
Data for Correlation between age and hours of homework per week
Correlation Coefficient: r=0.0042 Line of regression: ŷ= 0.0037x + 10.339
Linear Correlation Between the Variables
15 20 25 30 35 40 45 500
1020304050
Hours Spent StudyingLinear (Hours Spent Studying)
Student's AgeHou
rs S
pent
Stu
dyin
g S C
AT T
ER
P LO
T
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.
CONCLUSIONS
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.
CREDITS