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
0
