Based on the raw SPSS output in Appendix A, complete the following:

1. Transform the raw SPSS output into a standard table for publication.
2. Write a finding section and provide corresponding practical suggestions based on the statistical results.

Using public transport can help reduce air pollution. * Highest Level of Education Crosstabulation Highest Level of Education Secondary school and Degree and below Diploma above Total Using public Strongly agree Count 20 29 40 89 transport can help % within Using public 22.5% 32.6% 44.9% 100.0% reduce air pollution transport can help reduce air pollution % within Highest 55.6% 61.7% 59.7% 59.3% Level of Education % of Total 13.3% 19.3% 26.7% 59.3% agree Count 10 6 14 30 % within Using public 33.3% 20.0% 46.7% 100.0% transport can help reduce air pollution % within Highest 27.8% 12.8% 20.9% 20.0% Level of Education % of Total 6.7% 4.0% 9.3% 20.0% neutral Count 5 9 8 22 % within Using public 22.7% 40.9% 36.4% 100.0% transport can help reduce air pollution % within Highest 13.9% 19.1% 11.9% 14.7% Level of Education % of Total 3.3% 6.0% 5.3% 14.7% disagree Count 1 0 3 4 % within Using public 25.0% 0.0% 75.0% 100.0% transport can help reduce air pollution % within Highest 2.8% 0.0% 4.5% 2.7% Level of Education % of Total 0.7% 0.0% 2.0% 2.7% 0 3 2 5 strongly disagree Count 0.0% 60.0% 40.0% 100.0% 0.0% 6.4% 3.0% 3.3% 0.0% 2.0% 1.3% 3.3% Total % within Using public transport can help reduce air pollution % within Highest Level of Education % of Total Count % within Using public transport can help reduce air pollution % within Highest Level of Education % of Total 47 67 150 36 24.0% 31.3% 44.7% 100.0% 100.0% 100.0% 100.0% 100.0% 24.0% 31.3% 44.7% 100.0% Chi-Square Tests Asymptotic Significance Value (2-sided) Pearson Chi-Square 8.091" 8 425 Likelihood Ratio 10.155 8 254 Linear-by-Linear Association .042 1 .837 N of Valid Cases 150 a. 6 cells (40.0%) have expected count less than 5. The minimum expected count is 96. Using public transport can help reduce air pollution. * Highest Level of Education Crosstabulation Highest Level of Education Secondary school and Degree and below Diploma above Total Using public Strongly agree Count 20 29 40 89 transport can help % within Using public 22.5% 32.6% 44.9% 100.0% reduce air pollution transport can help reduce air pollution % within Highest 55.6% 61.7% 59.7% 59.3% Level of Education % of Total 13.3% 19.3% 26.7% 59.3% agree Count 10 6 14 30 % within Using public 33.3% 20.0% 46.7% 100.0% transport can help reduce air pollution % within Highest 27.8% 12.8% 20.9% 20.0% Level of Education % of Total 6.7% 4.0% 9.3% 20.0% neutral Count 5 9 8 22 % within Using public 22.7% 40.9% 36.4% 100.0% transport can help reduce air pollution % within Highest 13.9% 19.1% 11.9% 14.7% Level of Education % of Total 3.3% 6.0% 5.3% 14.7% disagree Count 1 0 3 4 % within Using public 25.0% 0.0% 75.0% 100.0% transport can help reduce air pollution % within Highest 2.8% 0.0% 4.5% 2.7% Level of Education % of Total 0.7% 0.0% 2.0% 2.7% 0 3 2 5 strongly disagree Count 0.0% 60.0% 40.0% 100.0% 0.0% 6.4% 3.0% 3.3% 0.0% 2.0% 1.3% 3.3% Total % within Using public transport can help reduce air pollution % within Highest Level of Education % of Total Count % within Using public transport can help reduce air pollution % within Highest Level of Education % of Total 47 67 150 36 24.0% 31.3% 44.7% 100.0% 100.0% 100.0% 100.0% 100.0% 24.0% 31.3% 44.7% 100.0% Chi-Square Tests Asymptotic Significance Value (2-sided) Pearson Chi-Square 8.091" 8 425 Likelihood Ratio 10.155 8 254 Linear-by-Linear Association .042 1 .837 N of Valid Cases 150 a. 6 cells (40.0%) have expected count less than 5. The minimum expected count is 96