Statistical test help us determine whether the observed differences or relationships between two groups are significant, that way increasing the reliability of results. These tests allow researchers to make informed decisions about whether to reject or accept the hypothesis. Tools such as T-tests and ANOVA ensure that the conclusions obtained from an experiment are valid and not due to random chance. In related groups with negative or positive trend, these test help detect significant changes across time. In independent groups with bivariate trend, ANOVA and correlation evaluate the group differences and the relationships between the variables. Without proper statistical tests, experimental conclusion may be biased, misleading or unsupported.