Inferential Data Analysis using Chi-Square Test for Desklib

Data analysis –inferential
In this section, we are going to focus on inferential data analysis. Statistical test we are going to use here
is chi-square. We are going to obtain the cross-tabulation table their respective chi-square test.
1. Country versus Industry type
From the chi-square test table below gives the relationship between country and the type of
industry emitting the carbon, we find that Pearson Chi-Square has value of 459.396a with degree
of freedom 168 and p-value of 0.0001. Likelihood Ratio test has a value of 342.170 with degree of
freedom of 168 and p-value of 0.0001. Since the p-value 0.0001<0.05 at 95% confidence level,
we can say that there is significant relationship between the countries and the industry type.
Chi-Square Tests
Value df Asymptotic Significance (2-sided)
Pearson Chi-Square 459.396a 168 .000
Likelihood Ratio 342.170 168 .000
N of Valid Cases 781
a. 164 cells (76.3%) have expected count less than 5. The minimum expected count is .01.
2.
3. Country versus climate integrated into business strategy
The table below shows the cross tabulation between different countries and how they have
integrated into their business strategy climate change. Out of possible 781 observations from five
countries 702 has adopted the integration of business idea into their business strategy.
Crosstab
Count
CC2.2 - Is climate change integrated into your
business strategy?
TotalYes No
country Canada 85 14 99
China 3 5 8
Germany 57 9 66
United Kingdom 205 14 219
USA 352 37 389
Total 702 79 781
From the chi-square test table below, we find that Pearson Chi-Square has value of 30.304 with
degree of freedom 4 and p-value of 0.001. Likelihood Ratio test has a value of 19.326 with
degree of freedom of 4 and p-value of 0.001. Since the p-value 0.0001<0.05 at 95% confidence

level, we can say that there is significant relationship between the countries and the integration of
climate change in the business strategy.
Chi-Square Tests
Value df Asymptotic Significance (2-sided)
Pearson Chi-Square 30.304a 4 .000
Likelihood Ratio 19.326 4 .001
N of Valid Cases 781
a. 1 cells (10.0%) have expected count less than 5. The minimum expected count is .81.
4. Country versus emission reduction target
The table below shows the cross tabulation between the country and carbon emission target. Out
of the 781 observations, 576 said they had the emission reduction or renewable energy
consumption or production target that was active.
Crosstab
Count
CC3.1. Did you have an emissions reduction or
renewable energy consumption or production target
that was active (ongoing or reached completion) in
the reporting year?
TotalYes No
country Canada 55 44 99
China 6 2 8
Germany 48 18 66
United Kingdom 180 39 219
USA 287 102 389
Total 576 205 781
From the chi-square test table below, we find that Pearson Chi-Square has value of 25.033a with
degree of freedom 4 and p-value of 0.001. Likelihood Ratio test has a value of 23.968with degree

of freedom of 4 and p-value of 0.001. Since the p-value 0.0001<0.05 at 95% confidence level,
we can say that there is significant relationship between the countries and emission reduction
strategy
Chi-Square Tests
Value df Asymptotic Significance (2-sided)
Pearson Chi-Square 25.033a 4 .000
Likelihood Ratio 23.968 4 .000
N of Valid Cases 781
a. 1 cells (10.0%) have expected count less than 5. The minimum expected count is 2.10.
5. Country versus carbon emission reduction
From the chi-square test table below gives the relationship between country and percentage
change in carbon emission, we find that Pearson Chi-Square has value of 1682.168a with degree of
freedom 1536 and p-value of 0.005. Likelihood Ratio test has a value of 1041.061with degree of
freedom of 1536 and p-value of 1.000. Since the p-value 0.0001<0.05 at 95% confidence level,
we can say that there is significant relationship between the countries and percentage change in
carbon emission.
Chi-Square Tests
Value df Asymptotic Significance (2-sided)
Pearson Chi-Square 1682.168a 1536 .005
Likelihood Ratio 1041.061 1536 1.000
N of Valid Cases 781
a. 1917 cells (99.6%) have expected count less than 5. The minimum expected count is .01.