DAT 475 Project two

H 1 = µ1 ≠ µ2 ≠ µ3 meaning there is at least one significant difference between the three means The defective model groups in percentage metrics are shown in Figure 1 below. Model1 Model2 Model3 30 6.67 7.23 14 3.11 3.37 11.5 2.56 2.77 8 1.78 1.93 5 1.11 1.2 Figure 1: Defect Dataset Percentages Performing Hypothesis Testing Considering our hypothesis statements as stated below, we can conduct the one-way ANOVA test to analyze the data. H 0 = µ1 = µ2 = µ3 meaning there is no significant difference between the three means H 1 = µ1 ≠ µ2 ≠ µ3 meaning there is at least one significant difference between the three means Percentage N Mean Std. Deviation Std. Error Lower Bound Upper Bound Minimum Maximum Model1 5 13.7 9.73139 4.35201 1.6169 25.7831 5 30 Model2 5 3.046 2.16359 0.96759 0.3595 5.7325 1.11 6.67 Model3 5 3.3 2.34615 1.04923 0.3869 6.2131 1.2 7.23 Total 15 6.68 7.5076 1.93845 2.5244 10.8396 1.11 30 Descriptives 95% Confidence Interval for Mean Percentage Sum of Squares df Mean Square F Sig. Between Groups 369.6 2 184.78 5.285 0.023 Within Groups 419.5 12 34.96 Total 789.1 14 ANOVA Figure 2: ANOVA Hypothesis Test