% within Feeling of safety of walking alone in local area 6,7% 93,3% 100,0% after dark % within Gender 0,1% 1,3% 0,7% Total Count 1073 1118 2191 Expected Count 1073,0 1118,0 2191,0 % within Feeling of safety of walking alone in local area 49,0% 51,0% 100,0% after dark % within Gender 100,0% 100,0% 100,0% Chi-Square Tests Asymp. Sig. Value df Pearson Chi-Square 214,123a 3 ,000 Likelihood Ratio 226,326 3 ,000 Linear-by-Linear Association 212,527 1 ,000 N of Valid Cases 2191 a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 7,35. Statistical tests are used in quantitative analyses to show that is it possible to generalize results in data (differences between groups, connections between variables) to cover the whole population too.
% within Feeling of safety of walking alone in local area after dark 6,7% 93,3% 100,0% % within Gender 0,1% 1,3% 0,7% Total Count 1073 1118 2191 Expected Count 1073,0 1118,0 2191,0 % within Feeling of safety of walking alone in local area after dark 49,0% 51,0% 100,0% % within Gender 100,0% 100,0% 100,0% Chi-Square Tests Value df Asymp. Sig. Pearson Chi-Square 214,123a 3 ,000 Likelihood Ratio 226,326 3 ,000 Linear-by-Linear Association 212,527 1 ,000 N of Valid Cases 2191 a. 0 cells (0,0%) have expected count less than 5. The minimum expected count is 7,35. Statistical tests are used in quantitative analyses to show that is it possible to generalize results in data (differences between groups, connections between variables) to cover the whole population too.
2017quantitativeresearchlecture.docx