The null hypothesis (H 0) is a hypothesis which the researcher tries to disprove, reject or nullify. It states that there is no statistical relationship between the two variables or measured phenomena in the population and that the relationship in the sample suggested by the alternative hypothesis reflects only a sampling error. Analysis of Variance (ANOVA) is a parametric statistical technique used to compare data or analyze the differences or variation among group means and their associated procedures. (ANOVA) is appropriate to compare means of a continuous variable in two or more independent comparison groups. So, ANOVA is used for null hypothesis testing. The t test is a type of inferential statistics used to determine whether there is a significant difference between the means of two groups, assuming the dependent variable fits a normal distribution. The X2 or Chi Square Test involves the use of parameters to test the statistical significance of the observations under study. Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors.