Se of mean in minitab

Minitab Statistical Analysis Project

E-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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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