14. What type of study is this? a. Paired b. Two-Sample Independent 15. What type of plot would we use? a. Histogram of the differences b. Side-by-side boxplots c. Pie chart d. Bar graph 16. Was the HOV/pooled test used above (hint: look at the df)? YES NO 17. Is there evidence that the CO2 emissions from the Industrial sector are less than that from the Transportation sector? YES NO 18. If we were to test to see if there was a difference between the CO2 emissions from the Industrial sector and the Transportation sector, what would be the p-value? (report to 3 decimal places) 0.016
Data from the US Department of Energy’s US Energy Information Administration (eia.doe.gov) provides a look at the energy-related carbon dioxide emissions by end use sector (residential, commercial, industrial, transportation) from years 1990 to 2009. (Report # DOE/EIA0573(2009)). Here we would like to see if the CO2 emissions from the Industrial sector are less than that from the Transportation sector. Below are the results:
14. What type of study is this?
a. Paired
b. Two-Sample Independent
15. What type of plot would we use?
a. Histogram of the differences
b. Side-by-side boxplots
c. Pie chart
d. Bar graph
16. Was the HOV/pooled test used above (hint: look at the df)?
YES
NO
17. Is there evidence that the CO2 emissions from the Industrial sector are less than that from the Transportation sector?
YES
NO
18. If we were to test to see if there was a difference between the CO2 emissions from the Industrial sector and the Transportation sector, what would be the p-value? (report to 3 decimal places)
0.016
![Method
μ₁: population mean of Industrial
u2: population mean of Transportation
Difference: μ₁ − µ²
-
Descriptive Statistics
Sample N Mean StDev SE Mean
Industrial
20 1703.0 89.8
Transportation 20 1804 153
Estimation for Difference
95% Upper Bound
for Difference
-34.2
Difference
-101.4
Test
T-Value DF P-Value
-2.56 38
0.008
20
34](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fabbab363-31c6-4d3d-8dfa-4ee00762a6e0%2Fa03d636d-80a0-4910-8413-315d073ecce4%2F2rqzll_processed.png&w=3840&q=75)
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