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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
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
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.
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.

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Univariate analysis of variance

  • 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.