Tests of Normality
Treatment Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Shellac .253 3 . .964 3 .637
Commercial .385 3 . .750 3 .000
T1 .385 3 . .750 3 .000
Nacl
T2 .175 3 . 1.000 3 1.000
T3 .175 3 . 1.000 3 1.000
Uncoated .385 3 . .750 3 .000
Shellac .385 3 . .750 3 .000
Commercial .385 3 . .750 3 .000
T1 .385 3 . .750 3 .000
HCL
T2 .314 3 . .893 3 .363
T3 .175 3 . 1.000 3 1.000
Uncoated .385 3 . .750 3 .000
Shellac .385 3 . .750 3 .000
Commercial .385 3 . .750 3 .000
T1 .253 3 . .964 3 .637
TapWtr
T2 .385 3 . .750 3 .000
T3 .385 3 . .750 3 .000
Uncoated .385 3 . .750 3 .000
a. Lilliefors Significance Correction
Equality of means before treatment
Multivariate Testsa
Effect Value F Hypothesis df Error df Sig.
b
Pillai's Trace 1.000 1363050.086 3.000 10.000 .000
Wilks' Lambda .000 1363050.086b 3.000 10.000 .000
Intercept
b
Hotelling's Trace 408915.026 1363050.086 3.000 10.000 .000
Roy's Largest Root 408915.026 1363050.086b 3.000 10.000 .000
Pillai's Trace .889 1.010 15.000 36.000 .467
Wilks' Lambda .323 .945 15.000 28.007 .530
Treatment
Hotelling's Trace 1.492 .862 15.000 26.000 .609
c
Roy's Largest Root .968 2.324 5.000 12.000 .107
a. Design: Intercept + Treatment
b. Exact statistic
c. The statistic is an upper bound on F that yields a lower bound on the significance level.
Hypothesis Test Summary
Null Hypothesis Test Sig. Decision
The distribution of HCL is the
Independent-Samples Retain the null
1 same across categories of .071
Kruskal-Wallis Test hypothesis.
Treatment.
The distribution of TapWtr is
Independent-Samples Reject the null
2 the same across categories of .013
Kruskal-Wallis Test hypothesis.
Treatment.
Asymptotic significances are displayed. The significance level is .05.
Kruskal-Wallis Test
Ranks
Treatment N Mean Rank
Shellac 3 13.33
Commercial 3 14.83
T1 3 9.67
NACL T2 3 9.17
T3 3 7.00
Uncoated 3 3.00
Total 18
Test Statisticsa,b
NACL
Chi-Square 10.164
df 5
Asymp. Sig. .071
a. Kruskal Wallis Test
b. Grouping Variable:
Treatment