The purpose of this study was to focus on the statistical methods to modify data by utilizing the ANOVA test. This study has been focused on specific statistical software to model data and compares data by utilizing the ANOVA model. Through utilizing the ANOVA model, this study has analyzed the statistical differences between independent and dependent variables. This study has focused on the 0.05 significant levels while interpreting the data by utilizing the ANOVA test model. This study has focused on the p-value while interpreting the statistical differences between independent and dependent variables. This study has been identified that during data modeling through statistical models when the p-value is lesser of the level of significance (0.05), it indicates significant differences are identified between “dependent and independent variables”. Further, when the p-value is “higher than 0.05 values”, it indicates that a significant difference is not present between the two variables. Further, this study has identified the process of null and alternative hypothesis explanations. It has been identified that when the “p-value” is less than the “significance level” it indicates acceptance of alternative hypotheses. Furthermore, when the “p-value” is higher “than the significance level” it accepts the null hypothesis. Therefore, this study has been focused on each the factor of ANOVA model to analyze statistical data.