Test of Normality Tests of Normality Kolmogorov-Smirnova Statistic df Shapiro-Wilk Sig. Statistic df Sig. MICRO .138 67 .078 .941 67 .067 MESO .094 67 .200* .957 67 .081 67 .200* .968 67 .082 MACRO .073 *. This is a lower bound of the true significance. a. Lilliefors Significance Correction A sig. value greater than 0.05 indicates normality; thus, KolmogorovSmirnov suggests that the data passed the normality assumption. The same result was obtained in Shapiro-Wilk Test. The normal Q-Q plot result for micro, meso, and macro strengthen the findings of Kolmogorov-Smirnov and Shapiro-Wilk Test. The researchers concluded that the data for the Analysis of Variance is normally distributed. Descriptive Descriptives Statistic MICRO Mean 103.0299 95% Confidence Interval for Lower Bound 100.3558 Mean Upper Bound 105.7039 5% Trimmed Mean 103.4104 Median 106.0000 Variance 1.33931 120.181 Std. Deviation MESO Std. Error 10.96271 Minimum 79.00 Maximum 120.00 Range 41.00 Interquartile Range 16.00 Skewness -.523 .293 Kurtosis -.788 .578 66.8955 1.06444 Mean Lower Bound 64.7703 95% Confidence Interval for Upper Bound 69.0207 Mean 5% Trimmed Mean 67.1725 Median 67.0000 Variance 75.913 Std. Deviation MACRO 8.71282 Minimum 48.00 Maximum 80.00 Range 32.00 Interquartile Range 13.00 Skewness -.420 .293 Kurtosis -.724 .578 81.3284 1.33498 Mean 95% Confidence Interval for Lower Bound 78.6630 Mean Upper Bound 83.9937 5% Trimmed Mean 81.4760 Median 82.0000 Variance 119.406 Std. Deviation 10.92729 Minimum 60.00 Maximum 100.00 Range 40.00 Interquartile Range 17.00 Skewness -.233 .293 Kurtosis -.761 .578
