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EPA Vehicular Emissions Study

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Best and Worst: no surprises!

2017 Hyundai Ionic Electric

    • 150 MPG city
    • 122 MPG highway
    • 136 MPG combined

1986-1990 Lamborghini Countach

    • 6 MPG city
    • 10 MPG highway
    • 7 MPG combined
  • Supports common consumer beliefs about vehicle types, design, and fuel efficiency.
  • Supports claim that electric cars have lower highway MPG than city MPG.
  • BUT – only one example of each vehicle in the EPA dataset!

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Limitations: sampling issues

  • Many models have only one example in data set.
  • Older cars appear more common in data set.
  • For the sake of fair comparison and relevance to contemporary automotive market, we include only vehicles manufactured from 2010-17 were considered in statistical analysis.
  • Comparisons within categories sometimes have very small sample populations. Ex: electric car brand comparisons.

Central limit theorem

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Limitations: human factors

  • Are individual driving habits a factor?
  • Is the performance of the manufacturer consistent?
  • Did the EPA do their math correctly?

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Limitations: time, demand, creativity

  • Myriad variables included in dataset: myriad possible tests.
    • Ignoring diesel, etc.
    • What are some of these variables (GHG score, economy score, etc)?
  • Do the magazine or its subscriber base have specific questions for us to investigate within this data set?

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Inquiries and Hypotheses

  • Which brands produce the most gas efficient vehicles?
    • We compared Toyota and Honda, two manufacturers known for efficiency.
    • We compared within the ‘midsize cars’ category.
  • Which brands produce the most energy efficient electric cars?
    • We compared Volkswagen and Ford.
    • We compared within the ‘compact cars’ category.

  • Does 4 wheel drive really use more energy than 2 wheel?

  • Are hybrid cars really more energy efficient than gas cars?
  • Are electric cars really more energy efficient than hybrid cars?

  • All inquiries use a two sample t-test assuming unequal variances.
  • All tests operate with a null and alternative hypothesis:
    • Null – No difference in means exists between the two groups being tested
    • Alternative – a statistically significant difference between means exists.
  • All tests were done at a 95% level of confidence.

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Handling the data

  • Data comes from a 2017 report from the Environmental Protection Agency.
  • For each test, we chose a variable from this data accordingly:
    • Test 1: Combined MPG (FT1)
    • Test 2: Combined electricity consumption
    • Test 3: Combined MPG (FT1)
    • Test 4: Annual fuel cost (FT1)
    • Test 5: Annual fuel cost (FT1)
  • We compare the means of these variables across two groups of vehicles.
  • All tests exclude vehicles before 2010, however we will include descriptive statistics of the entire data set below. This includes entries all the way back to 1984.
  • It appears that this data does not always show normal distributions as a whole, but it does when you separate categories.

Combined MPG

Mean

20.21607

Standard Error

0.034691

Median

19

Mode

18

Standard Deviation

6.772655

Sample Variance

45.86885

Kurtosis

66.64565

Skewness

5.732955

Range

129

Minimum

7

Maximum

136

Sum

770495

Count

38113

Annual Fuel Cost

Mean

1970.675

Standard Error

2.727898

Median

1950

Mode

2350

Standard Deviation

532.5552

Sample Variance

283615.1

Kurtosis

1.754519

Skewness

0.79584

Range

5550

Minimum

500

Maximum

6050

Sum

75108350

Count

38113

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Test 1: Toyota vs Honda, gas cars

  • 95% confidence
  • Tested on midsize cars
  • Large variance within each group
    • Are personal driving habits a factor?
    • Have we come a long way since 2010?
  • Midsize cars from 2010-7 may be built for a variety of purposes and price ranges.
  • Test shows significant difference, suggesting that Toyota outperforms Honda on gas mileage.

Toyota

Honda

Mean

33.86076

28.95

Variance

70.32652

44.81795

Observations

79

40

Toyota: Range from 23-56 MPG (33)

Honda: Range from 21-48 MPG (27)

Confidence interval: 2.1-7.7 MPG

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Test 2: Volkswagen vs Ford, electric cars

  • 95% confidence
  • Cannot slam Tesla – no comparable class vehicles by competing manufacturers!
  • Tested on compact cars
  • Severely limited sample
  • Tested for electronic fuel consumption
  • Data suggests that Volkswagen’s electric compact models are less costly to run than than those by Ford.

Volkswagen

Ford

Mean

29.1724

31.83333

Variance

3.362E-05

0.166667

Observations

2

6

Confidence interval: 2.2-3.1 kW-h

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Test 3: Drivetrain and mileage

  • 95 % confidence
  • Tested on all vehicle types
  • Testing 4wd, AWD, and combined drivetrains against 2wd front-wheel and rear-wheel drive
  • Could there be further differences within these types?
  • Significant difference found, supporting the claim that supplying power to all four wheels consumes more gas, which is widely accepted as fact in the industry.

4WD

2WD

Mean

20.97129

24.27446

Variance

64.02165

120.1333

Observations

3204

6103

Confidence interval: 2.9-3.7 MPG

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Test 4: Gas vs Hybrid

  • 95% confidence
  • Tested on yearly running costs
  • Tested on regular, midgrade, and premium fuel measurements vs gas and electric, gas or electric, regular and electric, regular or electric
  • Large difference in sample sizes
  • Test shows significant difference, which would support the consumer conception that hybrid cars cost less to operate than gas cars.

Gas

Hybrid

Mean

1827.563096

1307.692308

Variance

261357.6357

201189.9038

Observations

8281

65

Confidence interval: $408.20-$631.55

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Test 5: Hybrid vs Electric

  • 95% confidence
  • Tested on yearly running costs
  • Tested on aforementioned hybrid types vs “electricity” fuel type
  • Surprisingly, there were more electric models included in the EPA study than hybrid models.
  • Analysis found significant difference in mean costs, suggesting that electric cars are indeed cheaper to run than hybrid cars.

Hybrid

Electric

Mean

1307.692308

675.4545455

Variance

201189.9038

14667.22269

Observations

65

110

Confidence Interval: $518.91-$745.56

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Implications

  • Our findings suggest that conventional knowledge generally holds true in the car market.
  • The automotive industry as a whole is improving in being environmentally conscious.
  • Your readers are getting accurate and relevant information from your publication.
  • Everyone has “their” car and your publication can be a way for individuals to find and connect with it.

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Further study

  • Testing within make/model over the years to see if things are improving.
  • Testing within make/model/year to determine if they are made consistently. This may also be an indicator of factory performance.
  • Testing the improvement over the years between manufacturers to see if one is beginning to eclipse the other.
  • Auditing EPA data.
  • Incorporating new data sources.
  • Is progress so fast that we need to compare vehicles within a single year? If so, we certainly need more cars to test on!
  • Technical specs:
    • Transmission type
    • Engine type
    • Correlation between emissions and fuel efficiency
    • Cargo and passenger capacity vs running expense
    • Charging times
    • Range
  • Any specific questions you may have for us.
    • Any two brands can be compared within sub-classes.

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Conclusion

  • Magazines have continued to thrive as other forms of print media dwindle in readership.
  • Car and Driver has successfully made the transition into the digital age.
  • 87.8% of audience is male.
    • 2015 comScore//GfK MRI Media + MMx Fusion (08-15/S15)
    • Stats available on company website.