Minitab Statistical Analysis Project
Jeremys
Example1E-wasteRecycling.pptxE-waste Recycling Blue Star Recyclers
Dataset
Survey conducted on e-waste recycling through convenience sampling
165 responses
Most respondents were educated with higher income
Colorado law passed in July 2013 – Illegal to dispose e-waste
Impact of E-waste disposal into landfill
Less than 20% of the 50 million tons of e-waste generated every year is ethically recycled.
E-waste represents only 2% of US landfills but contributes to 70% of overall toxic waste. The extreme amount of lead in electronics alone causes damage in the central and peripheral nervous systems, the blood and the kidneys.
50-80% of the e-waste from the industrialized world winds up in the hands of “recyclers” who ship them to developing countries like China, Ghana, Vietnam and Philippines.
Objective
Analyze the correlation between reported likeliness to recycle(continuous) and demographic variables such as gender, age, education, income and likeliness to pay to recycle(continuous).
Analyze the correlation between likeliness to pay to recycle and age, gender and income.
Analyze the correlation between awareness of CO law, awareness of a certified recycler and if people currently recycle or not.
2 Sample Test – Gender and Likeliness to recycle
95% CI for difference: (0.012, 0.472)
T-Test of difference = 0 (vs ≠): T-Value = 2.08 P-Value = 0.039 DF = 155
Gender N Mean StDev SE Mean
Female 83 4.699 0.676 0.074
Male 81 4.457 0.807 0.090
Simple Linear Regression – Age and Likeliness to recycle
Regression Equation
Likeliness to recycle = 3.985 + 0.01444 Age
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Age 0.01444 0.00564 2.56 0.011 1.00
Simple Linear Regression - Likeliness to recycle and Likeliness to pay to recycle
Regression Equation
Likeliness to pay to recycle = 0.288 + 0.7772 Likeliness to recycle
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Likeliness to recycle 0.7772 0.0926 8.40 0.000 1.00
Simple Linear Regression - Income and Likeliness to pay to recycle
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Income -0.000002 0.000003 -0.62 0.535 1.00
Simple Linear Regression - Income and Likeliness to pay Blue Star to recycle
Coefficients
Term Coef SE Coef T-Value P-Value VIF
Income -0.000007 0.000003 -2.69 0.008 1.00
When is a good day/time to drop off e-waste?
Cross tabulation and Chi-Square test – Awareness of CO law & Currently Recycle
Rows: Colorado Law
Columns: Currently Recycle
No Yes All
No 45 27 72
28.10 43.90
Yes 19 73 92
35.90 56.10
All 64 100 164
Cell Contents: Count
Expected count
Pearson Chi-Square = 29.726, DF = 1, P-Value = 0.000
Based on the odds ratio, people are 6 times more likely to recycle if they were aware of the CO law
Cross tabulation and Chi-Square test – Awareness of Ethical Recycler & Currently Recycle
Rows: Awareness of certified recycler
Columns: Currently Recycle
No Yes All
No 56 63 119
46.44 72.56
Yes 8 37 45
17.56 27.44
All 64 100 164
Cell Contents: Count
Expected count
Pearson Chi-Square = 11.765, DF = 1, P-Value = 0.001
Based on the odds ratio, people are 4.11 times more likely to recycle if they knew an ethical recycler in the area
Conclusion
Women are more willing to recycle e-waste than men
As age increases so does likeliness to recycle
There is a positive correlation between willingness to recycle and willingness to pay
Income has no correlation with willingness to pay
Those with higher incomes are actually less likely to pay for e-recycling
People are 6 times more likely to recycle if they were aware of the CO law
People are over 4 times more likely to recycle if they know an ethical recycler in the area.
BLUE STAR RECYCLERS – www.bluestarrecyclers.com
They have locations in Denver (303.534.1667) and Colorado Springs (719.597.6119). They accept the following items.
Electronics:
All computer equipment, including laptops, desktops, servers, printers, keyboard, mice, and other peripherals
All TVs and monitors (tube type and flat screen)
All audio/video equipment (VCR, DVD, Stereo, consoles)
All small appliances (microwaves, coffeemakers, toasters, curling irons, hair dryers, lamps, vacuum cleaners, etc.)
All wire and connectors
Fluorescent bulbs:
Straight tubes (any length)
U-Tubes
Compact Fluorescent Lamps (CFLs)
Batteries:
Alkaline (all sizes)
Rechargeable (all types)
THANK YOU!
High school degree or equivalentGraduate degreeBachelor degreeAssociate degree
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Education
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Chart of Education
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Likeliness to recycle
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Gender
Each symbol represents up to 3 observations.
Dotplot of Likeliness to recycle and Gender
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Scatterplot of Likeliness to recycle vs Age
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Scatterplot of Likeliness to pay to recycle vs Likeliness to recycle
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Scatterplot of Likeliness to pay to recycle vs Income
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Scatterplot of Likely to pay - social impact vs Income
Weekdays - after 5 pm
Weekends
Any - combined trip
anytime Monday-Saturday
evenings M-F
none
None
outside of normal business hours
Saturdays - 9am to 1pm
Sundays - 9am to 1pm
Weekdays - 9am to 5pm
Category
Weekends
0.3%
Weekdays - after 5 pm
21.7%
days - 9am to 5pm
10.0%
Sundays - 9am to 1pm
22.7%
Saturdays - 9am to 1pm
43.1%
outside of normal business hours
0.3%
None
0.3%
none
0.3%
evenings M-F
0.3%
anytime Monday-Saturday
0.3%
Any - combined trip
0.3%
Pie Chart of Days that work best
Colorado LawYesNo
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Recycle
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Chart of Colorado Law, Currently Recycle
Awareness of certified recyclerYesNo
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Chart of Awareness of certified recycler, Currently Recycle
