This document summarizes the results of a one-way analysis of variance (ANOVA) test examining the effect of different concentrations (0, 1, 2, 3, 4 ppm) on seed germination (Kc). The ANOVA found a significant effect of concentration on seed germination. Post hoc tests found all concentrations were significantly different from each other in terms of their effect on seed germination except for a non-significant difference between 2 and 3 ppm. Estimated marginal means provided the mean germination rates for each concentration level.

1. Univariate Analysis of Variance
Notes
Output Created 19-DEC-2015 15:01:54
Comments
Input
Active Dataset DataSet0
Filter <none>
Weight <none>
Split File <none>
N of Rows in Working Data
File
20
Missing Value Handling
Definition of Missing
User-defined missing values
are treated as missing.
Cases Used
Statistics are based on all
cases with valid data for all
variables in the model.
Syntax
UNIANOVA KECAMBAH BY
konsentrasi
/METHOD=SSTYPE(3)
/INTERCEPT=INCLUDE
/POSTHOC=konsentrasi(DUN
CAN LSD)
/EMMEANS=TABLES(konsent
rasi)
/PRINT=HOMOGENEITY
/CRITERIA=ALPHA(.05)
/DESIGN=konsentrasi.
Resources
Processor Time 00:00:00,17
Elapsed Time 00:00:00,23
[DataSet0]
Between-Subjects Factors
Value Label N
K
0 0 PPM 4
1 1 PPM 4
2 2 PPM 4
3 3 PPM 4
4 4 PPM 4

2. Levene's Test of Equality of Error Variancesa
DependentVariable:Kc
F df1 df2 Sig.
2,244 4 15 ,113
Tests the null hypothesis thatthe error variance of
the dependentvariable is equal across groups.
a. Design:Intercept+ konsentrasi
Tests of Between-Subjects Effects
DependentVariable:Kc
Source Type III Sum of
Squares
df Mean Square F Sig.
Corrected Model 12365,700a 4 3091,425 124,237 ,000
Intercept 73326,050 1 73326,050 2946,794 ,000
konsentrasi 12365,700 4 3091,425 124,237 ,000
Error 373,250 15 24,883
Total 86065,000 20
Corrected Total 12738,950 19
a. R Squared = ,971 (Adjusted R Squared = ,963)
Estimated Marginal Means
K
DependentVariable:Kc
K Mean Std. Error 95% Confidence Interval
Lower Bound Upper Bound
0 PPM 97,000 2,494 91,684 102,316
1 PPM 80,250 2,494 74,934 85,566
2 PPM 52,500 2,494 47,184 57,816
3 PPM 45,250 2,494 39,934 50,566
4 PPM 27,750 2,494 22,434 33,066

3. Post Hoc Tests
K
Multiple Comparisons
DependentVariable:Kc
(I) K (J) K Mean Difference
(I-J)
Std. Error Sig. 95% Confidence Interval
Lower Bound Upper Bound
LSD
0 PPM
1 PPM 16,75*
3,527 ,000 9,23 24,27
2 PPM 44,50*
3,527 ,000 36,98 52,02
3 PPM 51,75*
3,527 ,000 44,23 59,27
4 PPM 69,25*
3,527 ,000 61,73 76,77
1 PPM
0 PPM -16,75*
3,527 ,000 -24,27 -9,23
2 PPM 27,75*
3,527 ,000 20,23 35,27
3 PPM 35,00*
3,527 ,000 27,48 42,52
4 PPM 52,50*
3,527 ,000 44,98 60,02
2 PPM
0 PPM -44,50*
3,527 ,000 -52,02 -36,98
1 PPM -27,75*
3,527 ,000 -35,27 -20,23
3 PPM 7,25 3,527 ,058 -,27 14,77
4 PPM 24,75*
3,527 ,000 17,23 32,27
3 PPM
0 PPM -51,75*
3,527 ,000 -59,27 -44,23
1 PPM -35,00*
3,527 ,000 -42,52 -27,48
2 PPM -7,25 3,527 ,058 -14,77 ,27
4 PPM 17,50*
3,527 ,000 9,98 25,02
4 PPM
0 PPM -69,25*
3,527 ,000 -76,77 -61,73
1 PPM -52,50*
3,527 ,000 -60,02 -44,98
2 PPM -24,75*
3,527 ,000 -32,27 -17,23
3 PPM -17,50*
3,527 ,000 -25,02 -9,98
Based on observed means.
The error term is Mean Square(Error) = 24,883.
*. The mean difference is significantatthe ,05 level.

4. Homogeneous Subsets
Kc
K N Subset
1 2 3 4
Duncana,b
4 PPM 4 27,75
3 PPM 4 45,25
2 PPM 4 52,50
1 PPM 4 80,25
0 PPM 4 97,00
Sig. 1,000 ,058 1,000 1,000
Means for groups in homogeneous subsets are displayed.
Based on observed means.
The error term is Mean Square(Error) = 24,883.
a. Uses Harmonic Mean Sample Size = 4,000.
b. Alpha = ,05.