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EPA FUEL ECONOMY
Geeta Nadagouda
Introduction
• Environmental Protection Agency
• How do Vehicle Types, Manufacturers,
and Technical Specs drive fuel
economy,CO2 and annual fuel costs?
• Combined fuel economy (Combined
MPG): weighted average of City and
Highway MPG.
• Estimated Annual Fuel Cost: based on
annual mileage of 15,000 miles and
projected gas prices.
Hypothesis
• H₁ There is no significant difference in Annual Fuel Costs or
Tailpipe CO2 emissions between Compact and Midsize cars.
• H₂ There is no significant difference in Annual Fuel Costs or
Tailpipe CO2 emissions between regular and premium gas.
• H3 There is no significant difference in Annual Fuel Costs or
Tailpipe CO2 emissions between Chevrolet and ford Cars.
Data
• For Analysis , the data set was sample of 38,113 records from years 1984
to 2017 covering 133 unique car makes.
• Data includes manufacturer information as well as vehicle types,
technical specs and EPA ratings for Fuel Economy and CO2 emissions.
• Descriptive Statistics confirm normal distribution for Combined
MPG, Annual Fuel Cost, and Tailpipe CO2 emissions.
• There is a positive correlation with Annual Consumption of
Barrels/Tailpipe CO2 and Combined MPG/Annual Fuel Cost.
• Annual fuel cost is based on 15,000 miles, 55% city driving, and the price
of fuel used by the vehicle
• The Data Comes from Kaggle https://www.fueleconomy.gov/feg/ws/
Method
• Used Statistical Analysis in Excel to analyze hypotheses about
fuel economy and annual fuel costs using data from the
EPA.
• Created an Excel Dashboard for summary Data.
• Confirmed normal distribution using Descriptive Statistics.
• Split data into sample populations using pivot table filters.
• Used Analysis Tool Pak's Two-Sample t-Test Assuming Unequal
Variances.
• Visualizing independent-samples t-tests.
Descriptive Statistics Annual
Fuel cost And Distribution
Mean 1970.67536
Standard Error 2.727897763
Median 1950
Mode 2350
Standard Deviation 532.5552338
Sample Variance 283615.077
Minimum 500
Maximum 6050
Descriptive Statistics Tailpipe
CO2 G/M And Distribution
Mean 472.7613824
Standard Error 0.62594462
Median 467.7368421
Mode 493.7222222
Standard Deviation 122.2003581
Sample Variance 14932.92751
Minimum 0
Maximum 1269.571429
Descriptive Statistics
Combined MPG And
Distribution
Mean 20.21606801
Standard Error 0.034691443
Median 19
Mode 18
Standard Deviation 6.772654709
Sample Variance 45.8688518
Minimum 7
Maximum 136
t-Test: Two-Sample Assuming
Unequal Variances
Null Hypothesis : Ho: μ1 - μ2 = 0
Alternative hypothesis : Ha: μ1 - μ2 ≠ 0
RESULTS
COMPACT VS MIDSIZE
• There is significant
mean difference
between Compact and
Midsize vehicles.
• With p < 0.05, 95%
confidence level, a
Midsize vehicle costs
between $-189 and $-
150 more annually
than a compact cars.
1550
1600
1650
1700
1750
1800
1850
1900
Compact Midsize
Compact vs Midsize Annual fuel Cost
COMPACT VS MIDSIZE
• There is significant
difference between
Compact and Midsize
vehicles.
• With p < 0.05, 95%
confidence level, a
Midsize vehicles emit
between -41.2g/m
and -33.6g/p more
Tailpipe CO2 than
compact cars.
370
380
390
400
410
420
430
440
450
Compact Midsize
Compact vs Midsize CO2
Grams/Mile
REGULAR VS PREMIUM
• There is significant
difference between
Regular and Premium
gas.
• With p < 0.05, 95%
confidence level
,Vehicles using
Premium gas emit
between 13.2g/m and
8g/m more CO2 than
Vehicles using regular
gas.
460
465
470
475
480
485
Regular Premium
Regular Vs premium CO2 Grams/Mile
REGULAR VS
PREMIUM
• There is significant mean
difference between Regular
and Premium gas.
• With p < 0.05, 95% confidence
level, Vehicles using Premium
gas emit between $-446.6 and
$-423.15 more CO2 than
Vehicles using regular gas
0
500
1000
1500
2000
2500
Regular Premium
Regular Vs Premium Annual
fuel cost
Chevrolet vs Ford
Annual Fuel Cost And
CO2 GM/Mile
• Fail to reject the null between
Chevrolet and Fuel cost.
• With p > 0.05, at the 95%
confidence level we fail to
reject the null hypothesis of no
significant difference between
population means.
1990
2000
2010
2020
2030
2040
2050
2060
Chevrolet Ford
Chevrolet vs Ford Annual
Fuel Cost
500
502
504
506
508
510
512
514
516
518
Chevrolet Ford
Chevrolet vs Ford CO2
GM/Mile
POTENTIAL
IMPACT
RECOMMENDATIONS
Drive Compact
Vehicles to save
money on Annual
Fuel Cost
1
Drive Compact
Vehicles to reduce
Tailpipe CO2
2
Drive Vehicles that
do not require
premium gas to
reduce Tailpipe CO2
3
Questions?
Epa fuel-economy

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Epa fuel-economy

  • 2. Introduction • Environmental Protection Agency • How do Vehicle Types, Manufacturers, and Technical Specs drive fuel economy,CO2 and annual fuel costs? • Combined fuel economy (Combined MPG): weighted average of City and Highway MPG. • Estimated Annual Fuel Cost: based on annual mileage of 15,000 miles and projected gas prices.
  • 3. Hypothesis • H₁ There is no significant difference in Annual Fuel Costs or Tailpipe CO2 emissions between Compact and Midsize cars. • H₂ There is no significant difference in Annual Fuel Costs or Tailpipe CO2 emissions between regular and premium gas. • H3 There is no significant difference in Annual Fuel Costs or Tailpipe CO2 emissions between Chevrolet and ford Cars.
  • 4. Data • For Analysis , the data set was sample of 38,113 records from years 1984 to 2017 covering 133 unique car makes. • Data includes manufacturer information as well as vehicle types, technical specs and EPA ratings for Fuel Economy and CO2 emissions. • Descriptive Statistics confirm normal distribution for Combined MPG, Annual Fuel Cost, and Tailpipe CO2 emissions. • There is a positive correlation with Annual Consumption of Barrels/Tailpipe CO2 and Combined MPG/Annual Fuel Cost. • Annual fuel cost is based on 15,000 miles, 55% city driving, and the price of fuel used by the vehicle • The Data Comes from Kaggle https://www.fueleconomy.gov/feg/ws/
  • 5. Method • Used Statistical Analysis in Excel to analyze hypotheses about fuel economy and annual fuel costs using data from the EPA. • Created an Excel Dashboard for summary Data. • Confirmed normal distribution using Descriptive Statistics. • Split data into sample populations using pivot table filters. • Used Analysis Tool Pak's Two-Sample t-Test Assuming Unequal Variances. • Visualizing independent-samples t-tests.
  • 6. Descriptive Statistics Annual Fuel cost And Distribution Mean 1970.67536 Standard Error 2.727897763 Median 1950 Mode 2350 Standard Deviation 532.5552338 Sample Variance 283615.077 Minimum 500 Maximum 6050
  • 7. Descriptive Statistics Tailpipe CO2 G/M And Distribution Mean 472.7613824 Standard Error 0.62594462 Median 467.7368421 Mode 493.7222222 Standard Deviation 122.2003581 Sample Variance 14932.92751 Minimum 0 Maximum 1269.571429
  • 8. Descriptive Statistics Combined MPG And Distribution Mean 20.21606801 Standard Error 0.034691443 Median 19 Mode 18 Standard Deviation 6.772654709 Sample Variance 45.8688518 Minimum 7 Maximum 136
  • 9. t-Test: Two-Sample Assuming Unequal Variances Null Hypothesis : Ho: μ1 - μ2 = 0 Alternative hypothesis : Ha: μ1 - μ2 ≠ 0
  • 11. COMPACT VS MIDSIZE • There is significant mean difference between Compact and Midsize vehicles. • With p < 0.05, 95% confidence level, a Midsize vehicle costs between $-189 and $- 150 more annually than a compact cars. 1550 1600 1650 1700 1750 1800 1850 1900 Compact Midsize Compact vs Midsize Annual fuel Cost
  • 12. COMPACT VS MIDSIZE • There is significant difference between Compact and Midsize vehicles. • With p < 0.05, 95% confidence level, a Midsize vehicles emit between -41.2g/m and -33.6g/p more Tailpipe CO2 than compact cars. 370 380 390 400 410 420 430 440 450 Compact Midsize Compact vs Midsize CO2 Grams/Mile
  • 13. REGULAR VS PREMIUM • There is significant difference between Regular and Premium gas. • With p < 0.05, 95% confidence level ,Vehicles using Premium gas emit between 13.2g/m and 8g/m more CO2 than Vehicles using regular gas. 460 465 470 475 480 485 Regular Premium Regular Vs premium CO2 Grams/Mile
  • 14. REGULAR VS PREMIUM • There is significant mean difference between Regular and Premium gas. • With p < 0.05, 95% confidence level, Vehicles using Premium gas emit between $-446.6 and $-423.15 more CO2 than Vehicles using regular gas 0 500 1000 1500 2000 2500 Regular Premium Regular Vs Premium Annual fuel cost
  • 15. Chevrolet vs Ford Annual Fuel Cost And CO2 GM/Mile • Fail to reject the null between Chevrolet and Fuel cost. • With p > 0.05, at the 95% confidence level we fail to reject the null hypothesis of no significant difference between population means. 1990 2000 2010 2020 2030 2040 2050 2060 Chevrolet Ford Chevrolet vs Ford Annual Fuel Cost 500 502 504 506 508 510 512 514 516 518 Chevrolet Ford Chevrolet vs Ford CO2 GM/Mile
  • 17. RECOMMENDATIONS Drive Compact Vehicles to save money on Annual Fuel Cost 1 Drive Compact Vehicles to reduce Tailpipe CO2 2 Drive Vehicles that do not require premium gas to reduce Tailpipe CO2 3

Editor's Notes

  1. Compact Observations: 5,508 Midsize Observations: 4,395 Reject the null Hypo that there is no difference between the two populations. With p < .05, there is significant difference between the two populations. The 95% confidence interval is between -189 and -150.    
  2. Compact Observations: 5,508 Midsize Observations: 4,395 P= Reject the null that there is no difference between the two populations. With p < .05, there is significant difference between the two populations. The 95% confidence interval is between -41.2 and -33.6.    
  3. Regular Gas Observations: 25,258 Premium Gas Observations: 10,133 P-Value - 6.39488E-80 Reject the null that there is no difference between the two populations. With p < .05, there is significant difference between the two populations. The 95% confidence interval is between -41.2 and -33.6.    
  4. Regular Gas Observations: 25,258 Premium Gas Observations: 10,133 P-Value - 0 Reject the null that there is no difference between the 2 populations.     With p- value < .05 there is a significant difference between the 2 popuations.   The 95% confidence interval for the population difference is between -446.6 and -423.15
  5. Regular Gas Observations: 3810 Premium Gas Observations: 3155 P-Value - 0.878776392 co2 0.88 fuel Fail to reject the null. There is not enough evidence at p > .05. The 95% confidence interval for the 2 populations is between -6.44 and 5.52. -21.5 and 25