Table 2.

Bivariate statistical analysis of variables with results

A chi-square test is used to compare correlation between two variables; T-test is an inferential statistic to ascertain significant difference between the means of two groups which may be correlated in certain features. p-value describes how likely it is that data would have occurred by random chance. A p-value less than 0.05 is statistically significant. T-test statistic score indicates the existence of difference between the two sample sets. A small t-score means two samples are similar, and large t-score indicates samples are different