Question

Please comment on what could be influencing the results obtained. Is Are the data meaningful?

Answer 1

Ans. This is a output generated from chi square test. We do chi-square test to see the association or u can say correlations between variable. For chi square test variables should be categorical variable. Suppose we want to check the associations between present status of some cancer patients and treatment method. There are three category of patient 1 = advance stage , 2 = moderately cure 3 = cure and the two treatment methods are A & B.

What I saw here u did chi square test between variable like sampling unit of individuals from different area & trust police. There are 3 area Urban , Rural & Semi urban. & 4 categories of trust police 1) Not at all 2) Just a little 3) Somewhat 4) A lot.

Now case process summary table says that there are 50485 observation from urban , rural and semi-urban place.

Out of that cross tabulation table shows that 11257 case handled by trust police Not at all category. 12620 handled by just a little category , 13280 handled by somewhat category and 13328 handled by a lot category.

Again out of 11257 not at all category 5216 from urban , 5937 from rural and 104 from semi-urban. Similar for all other category.

Now our null hypothesis H0 : there is no association between region & trust police.

alternative Ha : there is association.

We reject / accept null hypothesis based on the p-value. If p < 0.05 we reject null otherwise if p > 0.05 we do not reject the same.

Now from chi-square test table we can see that p = 0.000 corresponds to pearson chi-square statistic. (asymptotic sig. column). So, we reject our null that is there is not any association between the concern variable. Hence we infer that trust police & individual across different region are somewhat correlated.