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Many college students are familiar with the term “Freshman 15” which is referrin
Many college students are familiar with the term “Freshman 15” which is referring to the average 15-pound (6.8 Kg) weight gain that students my incur during their first year in college. The reasons students may gain weight will vary. Certainly, a change in eating habits, lack of exercise, long hours of studying and being sedentary, stress and anxiety are just a few examples of what can cause weight gain. For this activity, you will use a dataset to evaluate before and after weights for both males and females by conducting summary statistics, graphing your data, and drawing some overall conclusions based on your analysis.
Instructions
Part I:
Conduct this activity in MyLab by PearsonSummary Statistics:
Select “Content” from the Brightspace Navigation toolbar.
Select “MyLab Statistics” from the “Content” menu.
Click on the “MTH 210 StatCrunch” tab
Click on “Open Link”
Select the “StatCrunch Website”
Under the Data Column > select “Data Sets”
Search for the data set “Freshman_15” and select the data
Analyze your data using the Stat pull-down menu:Stat> Summary Stats> Columns
Click “WT SEPT” to move to the right panel
In “Group by”, select “Sex” from drop down menu
Select “Compute!” At the bottom right.
Copy and paste your results into a word document
Repeat the steps above just selecting for b. “WT APRIL” and copy and paste your results into the same word document. Summary statistics for WT SEPT:
Group by: SEX
SEX
n
Mean
Variance
Std. dev.
Std. err.
Median
Range
Min
Max
Q1
Q3
F
35
58.057143
40.467227
6.3613856
1.0752704
57
28
42
70
54
63
M
32
72.71875
110.85383
10.528715
1.8612314
71
43
54
97
65.5
76
Summary statistics for WT APRIL:
Group by: SEX
SEX
n
Mean
Variance
Std. dev.
Std. err.
Median
Range
Min
Max
Q1
Q3
F
35
59.257143
34.373109
5.8628585
0.99100395
58
22
47
69
56
64
M
32
73.875
118.17742
10.870944
1.9217295
71
50
55
105
68
82
Graphs:
You may choose histograms (1) or boxplots (2) to represent your data. If you choose histograms, you will create 4 graphs: WT SEPT Female, WT SEPT Male, WT APRIL Female and WT APRIL Male.
If you choose boxplots, both genders can be represented in the same display for a total of 2 graphs for both months.
Histograms (4 graphs total)Graph > Histogram
Click “WT SEPT” to move to the right panel (repeat all steps again for “WT APRIL”)
In “Group by”, select “Sex” from drop down menu
Select markers (mean and median)
Select “Compute” At the bottom right.
Copy and paste your graphs into a word document (there will be one for F and one for M as you arrow over in your results)
Boxplots (2 graphs total)Graph>Boxplots
Click “WT SEPT” to move to the right panel (repeat all steps again for “WT APRIL”)
In “Group by”, select “Sex” from drop down menu
Select markers (mean and median)
Hit Compute! At the bottom right.
Part II: Interpretation and Conclusions
Answer the following questions in the submission box below:Use your knowledge from Module 1 to discuss the following: How did the average weights change from September to April for males and for females?
Look at the median. Was there a significant shift between the months for males and females?
Describe the shape of the distributions of the graphs for both genders. Were there any potential outliers causing skewness in the data for either month?
Give your overall conclusions based on your analytical results. In this dataset, does it appear that gaining 15 lbs (6.8 Kg) on average is accurate over this time frame (a statistically significant change)? Explain.
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