00-Jawaban Desain Dan Analisis Eksperimen 3.4 - 3.30

7/28/2019 00-Jawaban Desain Dan Analisis Eksperimen 3.4 - 3.30

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JAWABAN TUGAS MATA KULIAH

DESAIN DAN ANALISIS EKSPERIMENDosen: Dr. Suparman I.A., M.Sc.

Soal 3.4

Sebuah eksperimen dilakukan untuk menentukan apakah temperatur pembakaran mempengaruhikepadatan batu bata. Hasil eksperimen tersebut adalah:

Pertanyaan:a. Dengan menggunakan = 0,05, apakah temperatur pembakaran mempengaruhi kepadatan batu

bata?

b. Apakah cocok menggunakan Uji Duncan dalam eksperimen ini?c. Apakah asumsinya terpenuhi?

d. Gambarkan grafiknya!

Jawaban 3.4

Hasil Analisis Varians dengan menggunkan SPSS adalah sebagai berikut:

Descriptives

Density/Kepadatan

N Mean Std. Deviation Std. Error

95% Confidence Interval for Mean

Minimum MaximumLower Bound Upper Bound

100 5 21.740 .1140 .0510 21.598 21.882 21.6 21.9

125 4 21.500 .1414 .0707 21.275 21.725 21.4 21.7

150 5 21.720 .1643 .0735 21.516 21.924 21.5 21.9

175 4 21.700 .2160 .1080 21.356 22.044 21.4 21.9

Total 18 21.672 .1742 .0411 21.586 21.759 21.4 21.9


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Test of Homogeneity of Variances

Density

Levene Statistic df1 df2 Sig.

.544 3 14 .660

ANOVA

Density

Sum of Squares df Mean Square F Sig.

Between Groups .156 3 .052 2.024 .157

Within Groups .360 14 .026

Total .516 17

Post Hoc Tests

Multiple Comparisons

Dependent Variable:Density

(I)Temperatur

(J)Temperatur

Mean Difference(I-J) Std. Error Sig.

95% Confidence Interval

Lower Bound Upper Bound

Tukey HSD 100 125 .2400 .1076 .163 -.073 .553

150 .0200 .1014 .997 -.275 .315

175 .0400 .1076 .982 -.273 .353

125 100 -.2400 .1076 .163 -.553 .073

150 -.2200 .1076 .219 -.533 .093

175 -.2000 .1134 .330 -.530 .130

150 100 -.0200 .1014 .997 -.315 .275

125 .2200 .1076 .219 -.093 .533

175 .0200 .1076 .998 -.293 .333

175 100 -.0400 .1076 .982 -.353 .273

125 .2000 .1134 .330 -.130 .530

150 -.0200 .1076 .998 -.333 .293

Homogeneous Subsets


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Density

Temperatur N

Subset for alpha = 0.05

1

Tukey HSDa 125 4 21.500

175 4 21.700

150 5 21.720

100 5 21.740

Sig. .163

dinDuncana 125 4 21.500

175 4 21.700

150 5 21.720

100 5 21.740

Sig. .057

Means for groups in homogeneous subsets are displayed.

a. Uses Harmonic Mean Sample Size = 4.444.

Berdasarkan hasil Analisis Varians dapat dikemukakan bahwa

a. Temperatur pembakaran tidak berpengaruh nyata terhadap density/kepadatan batu bata. Hal ini

ditunjukkan oleh Statistik F = 2,024 signifikan pada = 0,157 yang lebih besar dari 0,05sebagaimana ditetapkan.

Dalam uji lanjut (Post Hoc Tests) juga terbukti seluruh perbedaan rata-rata kepadatan batu bata

tidak berbeda nyata pada = 0,05.

b. Uji Duncan tidak cocok digunakan pada eksperimen ini karena jumlah data sampel kepadatanbatu bata pada setiap temperature tidak sama.

c. Asumsi Uji Duncan tidak terpenuhi.d. Grafinya sebagai berikut:


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Jawaban 3.6

Hasil eksperimen untuk membuktikan pengaruh Tipe Coating terhadap konduktiitas tabung padapabrik televise adalah sebagai berikut:

Hasil Analisis Varians dengan SPSS adalah sebagai berikut:


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Descriptives

Conductivity




Tipe1 4 145.00 3.916 1.958 138.77 151.23 141 150

Tipe2 4 145.25 6.652 3.326 134.67 155.83 137 152

Tipe3 4 132.25 3.862 1.931 126.10 138.40 127 136

Tipe4 4 129.25 2.062 1.031 125.97 132.53 127 132

Total 16 137.94 8.489 2.122 133.41 142.46 127 152


Conductivity


2.370 3 12 .122

ANOVA

Conductivity


Between Groups 844.688 3 281.562 14.302 .000

Within Groups 236.250 12 19.688

Total 1080.938 15

Homogeneous Subsets

Conductivity

Coating N


1 2

Tukey HSDa Tipe4 4 129.25

Tipe3 4 132.25

Tipe1 4 145.00

Tipe2 4 145.25

Sig. .776 1.000

Means for groups in homogeneous subsets are displayed.a. Uses Harmonic Mean Sample Size = 4.000.

(a) Dengan menggunakan = 0,05, hasil ANOVA membuktikan bahwa tipe Coating memberikan

pengaruh yang berbeda terhadap kondutivitas tabung.(b) Hasil uji lanjut terhadap rata-rata semua perlakuan adalah sebagai berikut:

Post Hoc Tests


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Dependent Variable:Conductivity

(I)Coating

(J)Coating




Tukey HSD Tipe1 Tipe2 -.250 3.137 1.000 -9.56 9.06

Tipe3 12.750* 3.137 .007 3.44 22.06

Tipe4 15.750* 3.137 .001 6.44 25.06

Tipe2 Tipe1 .250 3.137 1.000 -9.06 9.56

Tipe3 13.000* 3.137 .006 3.69 22.31

Tipe4 16.000* 3.137 .001 6.69 25.31

Tipe3 Tipe1 -12.750* 3.137 .007 -22.06 -3.44

Tipe2 -13.000* 3.137 .006 -22.31 -3.69

Tipe4 3.000 3.137 .776 -6.31 12.31

Tipe4 Tipe1 -15.750* 3.137 .001 -25.06 -6.44

Tipe2 -16.000* 3.137 .001 -25.31 -6.69

Tipe3 -3.000 3.137 .776 -12.31 6.31

LSD Tipe1 Tipe2 -.250 3.137 .938 -7.09 6.59

Tipe3 12.750* 3.137 .002 5.91 19.59

Tipe4 15.750* 3.137 .000 8.91 22.59

Tipe2 Tipe1 .250 3.137 .938 -6.59 7.09

Tipe3 13.000* 3.137 .001 6.16 19.84

Tipe4 16.000* 3.137 .000 9.16 22.84

Tipe3 Tipe1 -12.750* 3.137 .002 -19.59 -5.91

Tipe2 -13.000* 3.137 .001 -19.84 -6.16

Tipe4 3.000 3.137 .358 -3.84 9.84

Tipe4 Tipe1 -15.750*

3.137 .000 -22.59 -8.91Tipe2 -16.000* 3.137 .000 -22.84 -9.16

Tipe3 -3.000 3.137 .358 -9.84 3.84

Bonferroni Tipe1 Tipe2 -.250 3.137 1.000 -10.14 9.64

Tipe3 12.750* 3.137 .009 2.86 22.64

Tipe4 15.750* 3.137 .002 5.86 25.64

Tipe2 Tipe1 .250 3.137 1.000 -9.64 10.14

Tipe3 13.000* 3.137 .008 3.11 22.89

Tipe4 16.000* 3.137 .002 6.11 25.89

Tipe3 Tipe1 -12.750* 3.137 .009 -22.64 -2.86

Tipe2 -13.000* 3.137 .008 -22.89 -3.11

Tipe4 3.000 3.137 1.000 -6.89 12.89

Tipe4 Tipe1 -15.750* 3.137 .002 -25.64 -5.86

Tipe2 -16.000* 3.137 .002 -25.89 -6.11

Tipe3 -3.000 3.137 1.000 -12.89 6.89

*. The mean difference is significant at the 0.05 level.

(c) Perhitungan dengan interval kepercayaan 95% menghasilkan rata-rata konduktivitas Tipe

Coating 4 sebesar 129,25 dengan konduktivitas minimum 127 dan maksimum 132.


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Perhitungan dengan interval kepercayaan 99% menghasilkan perbedaan rata-ratakonduktivitas Tipe Coating 1 dan 4 sebagai berikut:


ConductivityLSD

(I)Coating

(J)Coating




Tipe1 Tipe2 -.250 3.137 .938 -9.83 9.33

Tipe3 12.750* 3.137 .002 3.17 22.33

Tipe4 15.750* 3.137 .000 6.17 25.33

Tipe2 Tipe1 .250 3.137 .938 -9.33 9.83

Tipe3 13.000* 3.137 .001 3.42 22.58

Tipe4 16.000* 3.137 .000 6.42 25.58

Tipe3 Tipe1 -12.750* 3.137 .002 -22.33 -3.17

Tipe2 -13.000* 3.137 .001 -22.58 -3.42

Tipe4 3.000 3.137 .358 -6.58 12.58Tipe4 Tipe1 -15.750* 3.137 .000 -25.33 -6.17

Tipe2 -16.000* 3.137 .000 -25.58 -6.42

Tipe3 -3.000 3.137 .358 -12.58 6.58


Hasil uji LSD Pada tabel di atas menunjukkan bahwa Tipe Coating 1 secara nyata memilikikonduktivitas yang lebih tinggi (15,750) dari Tipe Coating 4.

(d) Hasil uji LSD dapat dilihat pada jawaban butir b, yaitu Tipe Coating 2 secara nyatamenghasilkan konduktivitas yang lebih tinggi dari Tipe Coating3 dan 4, tetapi tidak berbeda

nyata dengan Tipe Coating1.


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(e) Dengan menggunakan grafik dapat dilihat bahwa Tipe Coating2 menghasilkan konduktivitas

yang paling tinggi. Hal ini juga dibuktikan dengan uji lanjut (Post Hoc Tests) yangmenunjukkan bahwa Tipe Coating 2 secara nyata menghasilkan konduktivitas yang lebih

tinggi dari Tipe Coating3 dan 4.

(f) Rekomendasi yang disampaikan adalah tetap menggunakan Tipe Coating 4 karena memiliki

konduktivitas paling rendah.


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Jawaban 3.8

Descriptives

Strength




10 3 1500.00 51.962 30.000 1370.92 1629.08 1440 1530

15 3 1586.67 77.675 44.845 1393.71 1779.62 1500 1650

20 3 1606.67 107.858 62.272 1338.73 1874.60 1530 1730

25 3 1500.00 10.000 5.774 1475.16 1524.84 1490 1510

Total 12 1548.33 79.525 22.957 1497.81 1598.86 1440 1730


Strength


4.253 3 8 .045

ANOVA

Strength


Between Groups 28633.333 3 9544.444 1.865 .214

Within Groups 40933.333 8 5116.667

Total 69566.667 11

Post Hoc Tests


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Dependent Variable:Strength

(I)Rodding

(J)Rodding




Tukey HSD 10 15 -86.667 58.405 .488 -273.70 100.37

20 -106.667 58.405 .329 -293.70 80.37

25 .000 58.405 1.000 -187.03 187.03

15 10 86.667 58.405 .488 -100.37 273.70

20 -20.000 58.405 .985 -207.03 167.03

25 86.667 58.405 .488 -100.37 273.70

20 10 106.667 58.405 .329 -80.37 293.70

15 20.000 58.405 .985 -167.03 207.03

25 106.667 58.405 .329 -80.37 293.70

25 10 .000 58.405 1.000 -187.03 187.03

15 -86.667 58.405 .488 -273.70 100.37

20 -106.667 58.405 .329 -293.70 80.37

LSD 10 15 -86.667 58.405 .176 -221.35 48.01

20 -106.667 58.405 .105 -241.35 28.01

25 .000 58.405 1.000 -134.68 134.68

15 10 86.667 58.405 .176 -48.01 221.35

20 -20.000 58.405 .741 -154.68 114.68

25 86.667 58.405 .176 -48.01 221.35

20 10 106.667 58.405 .105 -28.01 241.35

15 20.000 58.405 .741 -114.68 154.68

25 106.667 58.405 .105 -28.01 241.35

25 10 .000 58.405 1.000 -134.68 134.68

15 -86.667 58.405 .176 -221.35 48.01

20 -106.667 58.405 .105 -241.35 28.01

Homogeneous Subsets


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Strength

Rodding N

Subset for alpha= 0.05

1

Tukey HSDa 10 3 1500.00

25 3 1500.0015 3 1586.67

20 3 1606.67

Sig. .329

Duncana 10 3 1500.00

25 3 1500.00

15 3 1586.67

20 3 1606.67

Sig. .124

Means for groups in homogeneous subsets are

displayed.a. Uses Harmonic Mean Sample Size = 3.000.

Jawaban 3.9


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Descriptives

RadReleased




0.37 4 82.75 2.062 1.031 79.47 86.03 80 85

0.51 4 77.00 2.309 1.155 73.33 80.67 75 79

0.71 4 75.00 1.826 .913 72.09 77.91 73 77

1.02 4 71.75 3.304 1.652 66.49 77.01 67 74

1.40 4 65.00 3.559 1.780 59.34 70.66 62 69

1.99 4 62.75 2.754 1.377 58.37 67.13 60 66

Total 24 72.38 7.418 1.514 69.24 75.51 60 85


RadReleased


1.243 5 18 .330

Post Hoc Tests


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Dependent Variable:RadReleased

(I)OrifDiameter

(J)OrifDiameter




Tukey HSD 0.37 0.51 5.750 1.917 .071 -.34 11.84

0.71 7.750* 1.917 .008 1.66 13.84

1.02 11.000* 1.917 .000 4.91 17.09

1.40 17.750* 1.917 .000 11.66 23.84

1.99 20.000* 1.917 .000 13.91 26.09

0.51 0.37 -5.750 1.917 .071 -11.84 .34

0.71 2.000 1.917 .897 -4.09 8.09

1.02 5.250 1.917 .115 -.84 11.34

1.40 12.000* 1.917 .000 5.91 18.09

1.99 14.250* 1.917 .000 8.16 20.34

0.71 0.37 -7.750* 1.917 .008 -13.84 -1.66

0.51 -2.000 1.917 .897 -8.09 4.09

1.02 3.250 1.917 .551 -2.84 9.34

1.40 10.000* 1.917 .001 3.91 16.09

1.99 12.250* 1.917 .000 6.16 18.34

1.02 0.37 -11.000* 1.917 .000 -17.09 -4.91

0.51 -5.250 1.917 .115 -11.34 .84

0.71 -3.250 1.917 .551 -9.34 2.84

1.40 6.750* 1.917 .025 .66 12.84

1.99 9.000* 1.917 .002 2.91 15.09

1.40 0.37 -17.750* 1.917 .000 -23.84 -11.66

0.51 -12.000* 1.917 .000 -18.09 -5.91

0.71 -10.000* 1.917 .001 -16.09 -3.91

1.02 -6.750* 1.917 .025 -12.84 -.66

1.99 2.250 1.917 .843 -3.84 8.34

1.99 0.37 -20.000* 1.917 .000 -26.09 -13.91

0.51 -14.250* 1.917 .000 -20.34 -8.16

0.71 -12.250* 1.917 .000 -18.34 -6.16

1.02 -9.000* 1.917 .002 -15.09 -2.91

1.40 -2.250 1.917 .843 -8.34 3.84

LSD 0.37 0.51 5.750* 1.917 .008 1.72 9.78

0.71 7.750* 1.917 .001 3.72 11.78

1.02 11.000* 1.917 .000 6.97 15.03

1.40 17.750* 1.917 .000 13.72 21.78

1.99 20.000* 1.917 .000 15.97 24.03

0.51 0.37 -5.750* 1.917 .008 -9.78 -1.72

0.71 2.000 1.917 .311 -2.03 6.03

1.02 5.250* 1.917 .013 1.22 9.28

1.40 12.000* 1.917 .000 7.97 16.03


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Homogeneous Subsets

RadReleased

OrifDiameter N


1 2 3 4

Tukey HSDa 1.99 4 62.75

1.40 4 65.00

1.02 4 71.75

0.71 4 75.00

0.51 4 77.00 77.00

0.37 4 82.75

Sig. .843 .115 .071

Duncana 1.99 4 62.75

1.40 4 65.00

1.02 4 71.75

0.71 4 75.00 75.00

0.51 4 77.00

0.37 4 82.75

Sig. .256 .107 .311 1.000




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Jawaban 3.10

Descriptives

ResponTime




Satu 5 10.80 2.775 1.241 7.35 14.25 8 15

Dua 5 22.20 4.868 2.177 16.16 28.24 17 30

Tiga 5 8.40 4.393 1.965 2.95 13.85 5 16

Total 15 13.80 7.302 1.885 9.76 17.84 5 30


ResponTime


.347 2 12 .714

ANOVA

ResponTime


Between Groups 543.600 2 271.800 16.083 .000

Within Groups 202.800 12 16.900

Total 746.400 14

Post Hoc Tests


Dependent Variable:ResponTime

(I)CircuitType

(J)CircuitType




Tukey HSD Satu Dua -11.400* 2.600 .002 -20.68 -2.12

Tiga 2.400 2.600 .637 -6.88 11.68

Dua Satu 11.400* 2.600 .002 2.12 20.68

Tiga 13.800* 2.600 .001 4.52 23.08

Tiga Satu -2.400 2.600 .637 -11.68 6.88

Dua -13.800* 2.600 .001 -23.08 -4.52

LSD Satu Dua -11.400* 2.600 .001 -19.34 -3.46

Tiga 2.400 2.600 .374 -5.54 10.34

Dua Satu 11.400* 2.600 .001 3.46 19.34

Tiga 13.800* 2.600 .000 5.86 21.74

Tiga Satu -2.400 2.600 .374 -10.34 5.54

Dua -13.800* 2.600 .000 -21.74 -5.86


Homogeneous Subsets


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ResponTime

CircuitType N


1 2

Tukey HSDa Tiga 5 8.40

Satu 5 10.80

Dua 5 22.20

Sig. .637 1.000



Jawaban 3.11


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Descriptives

Lifeat35kV




Satu 6 18.650 1.9522 .7970 16.601 20.699 16.3 21.6

Dua 6 17.950 1.8545 .7571 16.004 19.896 15.3 20.3

Tiga 6 20.950 1.8791 .7671 18.978 22.922 18.5 23.6

Empat 6 18.817 1.5549 .6348 17.185 20.448 16.9 21.1

Total 24 19.092 2.0447 .4174 18.228 19.955 15.3 23.6


Lifeat35kV


.146 3 20 .931

ANOVALifeat35kV


Between Groups 30.165 3 10.055 3.047 .052

Within Groups 65.993 20 3.300

Total 96.158 23

Post Hoc Tests


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Dependent Variable:Lifeat35kV

(I)FluidType

(J)FluidType




Tukey HSD Satu Dua .7000 1.0488 .908 -2.235 3.635

Tiga -2.3000 1.0488 .159 -5.235 .635

Empat -.1667 1.0488 .999 -3.102 2.769

Dua Satu -.7000 1.0488 .908 -3.635 2.235

Tiga -3.0000* 1.0488 .044 -5.935 -.065

Empat -.8667 1.0488 .841 -3.802 2.069

Tiga Satu 2.3000 1.0488 .159 -.635 5.235

Dua 3.0000* 1.0488 .044 .065 5.935

Empat 2.1333 1.0488 .209 -.802 5.069

Empat Satu .1667 1.0488 .999 -2.769 3.102

Dua .8667 1.0488 .841 -2.069 3.802

Tiga -2.1333 1.0488 .209 -5.069 .802

Bonferroni Satu Dua .7000 1.0488 1.000 -2.370 3.770

Tiga -2.3000 1.0488 .242 -5.370 .770

Empat -.1667 1.0488 1.000 -3.237 2.903

Dua Satu -.7000 1.0488 1.000 -3.770 2.370

Tiga -3.0000 1.0488 .058 -6.070 .070

Empat -.8667 1.0488 1.000 -3.937 2.203

Tiga Satu 2.3000 1.0488 .242 -.770 5.370

Dua 3.0000 1.0488 .058 -.070 6.070

Empat 2.1333 1.0488 .332 -.937 5.203

Empat Satu .1667 1.0488 1.000 -2.903 3.237

Dua .8667 1.0488 1.000 -2.203 3.937

Tiga -2.1333 1.0488 .332 -5.203 .937


Homogeneous Subsets

Lifeat35kV

FluidTyp

e N


1 2Tukey HSDa Dua 6 17.950

Satu 6 18.650 18.650

Empat 6 18.817 18.817

Tiga 6 20.950

Sig. .841 .159




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Jawaban 3.12

Descriptives

Noise




Satu 5 19.20 7.791 3.484 9.53 28.87 8 30

Dua 5 70.00 11.023 4.930 56.31 83.69 56 80

Tiga 5 36.60 11.589 5.183 22.21 50.99 25 50

Empat 5 79.80 20.511 9.173 54.33 105.27 46 97

Total 20 51.40 28.089 6.281 38.25 64.55 8 97


Noise


1.294 3 16 .311

ANOVA

Noise


Between Groups 12042.000 3 4014.000 21.780 .000

Within Groups 2948.800 16 184.300

Total 14990.800 19

Post Hoc Tests


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Dependent Variable:Noise

(I)CircuitDesign

(J)CircuitDesign




Tukey HSD Satu Dua -50.800* 8.586 .000 -75.36 -26.24

Tiga -17.400 8.586 .219 -41.96 7.16

Empat -60.600* 8.586 .000 -85.16 -36.04

Dua Satu 50.800* 8.586 .000 26.24 75.36

Tiga 33.400* 8.586 .006 8.84 57.96

Empat -9.800 8.586 .670 -34.36 14.76

Tiga Satu 17.400 8.586 .219 -7.16 41.96

Dua -33.400* 8.586 .006 -57.96 -8.84

Empat -43.200* 8.586 .001 -67.76 -18.64

Empat Satu 60.600* 8.586 .000 36.04 85.16

Dua 9.800 8.586 .670 -14.76 34.36

Tiga 43.200* 8.586 .001 18.64 67.76

Bonferroni Satu Dua -50.800* 8.586 .000 -76.63 -24.97

Tiga -17.400 8.586 .358 -43.23 8.43

Empat -60.600* 8.586 .000 -86.43 -34.77

Dua Satu 50.800* 8.586 .000 24.97 76.63

Tiga 33.400* 8.586 .008 7.57 59.23

Empat -9.800 8.586 1.000 -35.63 16.03

Tiga Satu 17.400 8.586 .358 -8.43 43.23

Dua -33.400* 8.586 .008 -59.23 -7.57

Empat -43.200* 8.586 .001 -69.03 -17.37

Empat Satu 60.600* 8.586 .000 34.77 86.43

Dua 9.800 8.586 1.000 -16.03 35.63

Tiga 43.200* 8.586 .001 17.37 69.03


Homogeneous Subsets


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Noise

CircuitDesign N


1 2

Tukey HSDa Satu 5 19.20

Tiga 5 36.60

Dua 5 70.00

Empat 5 79.80

Sig. .219 .670



Jawaban 3.13

Descriptives

MethAlcohol




Satu 3 84.4700 .48135 .27791 83.2743 85.6657 84.04 84.99

Dua 3 85.0533 .15044 .08686 84.6796 85.4271 84.88 85.15

Tiga 3 84.7867 .34487 .19911 83.9300 85.6434 84.48 85.16

Empat 3 84.2833 .23629 .13642 83.6964 84.8703 84.10 84.55

Total 12 84.6483 .41591 .12006 84.3841 84.9126 84.04 85.16


MethAlcoholLevene Statistic df1 df2 Sig.

1.336 3 8 .329

ANOVA

MethAlcohol


Between Groups 1.045 3 .348 3.246 .081

Within Groups .858 8 .107

Total 1.903 11

Post Hoc Tests


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Dependent Variable:MethAlcohol

(I)Chemist

(J)Chemist




Tukey HSD Satu Dua -.58333 .26743 .208 -1.4397 .2731

Tiga -.31667 .26743 .653 -1.1731 .5397

Empat .18667 .26743 .895 -.6697 1.0431

Dua Satu .58333 .26743 .208 -.2731 1.4397

Tiga .26667 .26743 .755 -.5897 1.1231

Empat .77000 .26743 .079 -.0864 1.6264

Tiga Satu .31667 .26743 .653 -.5397 1.1731

Dua -.26667 .26743 .755 -1.1231 .5897

Empat .50333 .26743 .307 -.3531 1.3597

Empat Satu -.18667 .26743 .895 -1.0431 .6697

Dua -.77000 .26743 .079 -1.6264 .0864

Tiga -.50333 .26743 .307 -1.3597 .3531

Bonferroni Satu Dua -.58333 .26743 .364 -1.5137 .3470

Tiga -.31667 .26743 1.000 -1.2470 .6137

Empat .18667 .26743 1.000 -.7437 1.1170

Dua Satu .58333 .26743 .364 -.3470 1.5137

Tiga .26667 .26743 1.000 -.6637 1.1970

Empat .77000 .26743 .123 -.1603 1.7003

Tiga Satu .31667 .26743 1.000 -.6137 1.2470

Dua -.26667 .26743 1.000 -1.1970 .6637

Empat .50333 .26743 .580 -.4270 1.4337

Empat Satu -.18667 .26743 1.000 -1.1170 .7437

Dua -.77000 .26743 .123 -1.7003 .1603

Tiga -.50333 .26743 .580 -1.4337 .4270

Homogeneous Subsets


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MethAlcohol

Chemist N


1

Tukey HSDa Empat 3 84.2833

Satu 3 84.4700

Tiga 3 84.7867

Dua 3 85.0533

Sig. .079



Jawaban 3.14

Descriptives

Weekslife




Brand1 5 95.20 3.347 1.497 91.04 99.36 92 100

Brand2 5 79.40 3.847 1.720 74.62 84.18 75 84

Brand3 5 100.40 4.561 2.040 94.74 106.06 96 108

Total 15 91.67 9.940 2.567 86.16 97.17 75 108


Weekslife


.092 2 12 .912

ANOVA

Weekslife


Between Groups 1196.133 2 598.067 38.338 .000

Within Groups 187.200 12 15.600

Total 1383.333 14

Post Hoc Tests


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Dependent Variable:Weekslife

(I) Brand (J) BrandMean Difference

(I-J) Std. Error Sig.



Tukey HSD Brand1 Brand2 15.800* 2.498 .000 9.14 22.46

Brand3 -5.200 2.498 .136 -11.86 1.46

Brand2 Brand1 -15.800* 2.498 .000 -22.46 -9.14

Brand3 -21.000* 2.498 .000 -27.66 -14.34

Brand3 Brand1 5.200 2.498 .136 -1.46 11.86

Brand2 21.000* 2.498 .000 14.34 27.66

Bonferroni Brand1 Brand2 15.800* 2.498 .000 8.86 22.74

Brand3 -5.200 2.498 .178 -12.14 1.74

Brand2 Brand1 -15.800* 2.498 .000 -22.74 -8.86

Brand3 -21.000* 2.498 .000 -27.94 -14.06

Brand3 Brand1 5.200 2.498 .178 -1.74 12.14

Brand2 21.000* 2.498 .000 14.06 27.94


Homogeneous Subsets

Weekslife

Brand N


1 2

Tukey HSDa Brand2 5 79.40

Brand1 5 95.20

Brand3 5 100.40

Sig. 1.000 .136



Interval Kepercayaan 99%


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Descriptives

Weekslife




Brand1 5 95.20 3.347 1.497 91.04 99.36 92 100

Brand2 5 79.40 3.847 1.720 74.62 84.18 75 84

Brand3 5 100.40 4.561 2.040 94.74 106.06 96 108

Total 15 91.67 9.940 2.567 86.16 97.17 75 108


Weekslife


.092 2 12 .912

ANOVAWeekslife


Between Groups 1196.133 2 598.067 38.338 .000

Within Groups 187.200 12 15.600

Total 1383.333 14

Post Hoc Tests


Dependent Variable:Weekslife

(I) Brand (J) BrandMean Difference




Tukey HSD Brand1 Brand2 15.800* 2.498 .000 6.89 24.71

Brand3 -5.200 2.498 .136 -14.11 3.71

Brand2 Brand1 -15.800* 2.498 .000 -24.71 -6.89

Brand3 -21.000* 2.498 .000 -29.91 -12.09

Brand3 Brand1 5.200 2.498 .136 -3.71 14.11

Brand2 21.000* 2.498 .000 12.09 29.91

Bonferroni Brand1 Brand2 15.800* 2.498 .000 6.69 24.91

Brand3 -5.200 2.498 .178 -14.31 3.91

Brand2 Brand1 -15.800* 2.498 .000 -24.91 -6.69

Brand3 -21.000* 2.498 .000 -30.11 -11.89

Brand3 Brand1 5.200 2.498 .178 -3.91 14.31

Brand2 21.000* 2.498 .000 11.89 30.11


Homogeneous Subsets


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Weekslife

Brand N


1 2

Tukey HSDa Brand2 5 79.40

Brand1 5 95.20

Brand3 5 100.40

Sig. 1.000 .136



Jawaban 3.15

Descriptives

Effect




Catalyst1 5 56.900 1.5199 .6797 55.013 58.787 54.9 58.4

Catalyst2 4 55.775 1.0996 .5498 54.025 57.525 54.5 57.0

Catalyst3 3 53.233 2.7791 1.6045 46.330 60.137 50.1 55.4

Catalyst4 4 51.125 1.4431 .7215 48.829 53.421 49.9 52.9

Total 16 54.488 2.8312 .7078 52.979 55.996 49.9 58.4


Effect


2.054 3 12 .160

ANOVA

Effect


Between Groups 85.676 3 28.559 9.916 .001


Total 120.237 15

Post Hoc Tests


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Dependent Variable:Effect

(I) Catalyst (J) CatalystMean Difference




Tukey HSD Catalyst1 Catalyst2 1.1250 1.1384 .759 -2.255 4.505

Catalyst3 3.6667 1.2394 .051 -.013 7.346

Catalyst4 5.7750* 1.1384 .001 2.395 9.155

Catalyst2 Catalyst1 -1.1250 1.1384 .759 -4.505 2.255

Catalyst3 2.5417 1.2962 .255 -1.307 6.390

Catalyst4 4.6500* 1.2000 .010 1.087 8.213

Catalyst3 Catalyst1 -3.6667 1.2394 .051 -7.346 .013

Catalyst2 -2.5417 1.2962 .255 -6.390 1.307

Catalyst4 2.1083 1.2962 .401 -1.740 5.957

Catalyst4 Catalyst1 -5.7750* 1.1384 .001 -9.155 -2.395

Catalyst2 -4.6500* 1.2000 .010 -8.213 -1.087

Catalyst3 -2.1083 1.2962 .401 -5.957 1.740

Bonferroni Catalyst1 Catalyst2 1.1250 1.1384 1.000 -2.464 4.714

Catalyst3 3.6667 1.2394 .072 -.241 7.574

Catalyst4 5.7750* 1.1384 .002 2.186 9.364

Catalyst2 Catalyst1 -1.1250 1.1384 1.000 -4.714 2.464

Catalyst3 2.5417 1.2962 .441 -1.545 6.628

Catalyst4 4.6500* 1.2000 .013 .867 8.433

Catalyst3 Catalyst1 -3.6667 1.2394 .072 -7.574 .241

Catalyst2 -2.5417 1.2962 .441 -6.628 1.545

Catalyst4 2.1083 1.2962 .779 -1.978 6.195


Catalyst2 -4.6500* 1.2000 .013 -8.433 -.867

Catalyst3 -2.1083 1.2962 .779 -6.195 1.978


Homogeneous Subsets


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Effect

Catalyst N


1 2 3

Tukey HSDa Catalyst4 4 51.125

Catalyst3 3 53.233 53.233

Catalyst2 4 55.775 55.775

Catalyst1 5 56.900

Sig. .352 .213 .794



Interval Kepercayaan 99%

Descriptives

Effect




Catalyst1 5 56.900 1.5199 .6797 55.013 58.787 54.9 58.4

Catalyst2 4 55.775 1.0996 .5498 54.025 57.525 54.5 57.0

Catalyst3 3 53.233 2.7791 1.6045 46.330 60.137 50.1 55.4

Catalyst4 4 51.125 1.4431 .7215 48.829 53.421 49.9 52.9

Total 16 54.488 2.8312 .7078 52.979 55.996 49.9 58.4


Effect


2.054 3 12 .160

ANOVA

Effect


Between Groups 85.676 3 28.559 9.916 .001


Total 120.237 15

Post Hoc Tests


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Dependent Variable:Effect

(I) Catalyst (J) CatalystMean Difference




Tukey HSD Catalyst1 Catalyst2 1.1250 1.1384 .759 -3.304 5.554

Catalyst3 3.6667 1.2394 .051 -1.155 8.488

Catalyst4 5.7750* 1.1384 .001 1.346 10.204


Catalyst3 2.5417 1.2962 .255 -2.501 7.584

Catalyst4 4.6500 1.2000 .010 -.018 9.318


Catalyst2 -2.5417 1.2962 .255 -7.584 2.501

Catalyst4 2.1083 1.2962 .401 -2.934 7.151


Catalyst2 -4.6500 1.2000 .010 -9.318 .018

Catalyst3 -2.1083 1.2962 .401 -7.151 2.934

Bonferroni Catalyst1 Catalyst2 1.1250 1.1384 1.000 -3.464 5.714

Catalyst3 3.6667 1.2394 .072 -1.329 8.662

Catalyst4 5.7750* 1.1384 .002 1.186 10.364

Catalyst2 Catalyst1 -1.1250 1.1384 1.000 -5.714 3.464

Catalyst3 2.5417 1.2962 .441 -2.683 7.766

Catalyst4 4.6500 1.2000 .013 -.187 9.487


Catalyst2 -2.5417 1.2962 .441 -7.766 2.683

Catalyst4 2.1083 1.2962 .779 -3.116 7.333


Catalyst2 -4.6500 1.2000 .013 -9.487 .187

Catalyst3 -2.1083 1.2962 .779 -7.333 3.116


Homogeneous Subsets


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Effect

Catalyst N


1 2

Tukey HSDa Catalyst4 4 51.125

Catalyst3 3 53.233 53.233

Catalyst2 4 55.775 55.775

Catalyst1 5 56.900

Sig. .011 .047



Jawaban 3.16

Descriptives

FailureTime




Material1 4 159.75 36.463 18.232 101.73 217.77 110 194

Material2 4 6.25 7.932 3.966 -6.37 18.87 1 18

Material3 4 2941.75 2201.406 1100.703 -561.18 6444.68 880 5276

Material4 4 5723.00 3998.435 1999.218 -639.40 12085.40 495 10050

Material5 4 10.75 12.339 6.169 -8.88 30.38 2 29

Total 20 1768.30 2953.117 660.337 386.20 3150.40 1 10050


FailureTime


6.313 4 15 .003

ANOVA

FailureTime


Between Groups 1.032E8 4 2.580E7 6.191 .004Within Groups 6.251E7 15 4167043.800

Total 1.657E8 19

Post Hoc Tests


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Dependent Variable:FailureTime

(I) Material (J) MaterialMean Difference




Tukey HSD Material1 Material2 153.500 1443.441 1.000 -4303.74 4610.74

Material3 -2782.000 1443.441 .345 -7239.24 1675.24

Material4 -5563.250* 1443.441 .012 -10020.49 -1106.01

Material5 149.000 1443.441 1.000 -4308.24 4606.24

Material2 Material1 -153.500 1443.441 1.000 -4610.74 4303.74

Material3 -2935.500 1443.441 .297 -7392.74 1521.74

Material4 -5716.750* 1443.441 .009 -10173.99 -1259.51

Material5 -4.500 1443.441 1.000 -4461.74 4452.74

Material3 Material1 2782.000 1443.441 .345 -1675.24 7239.24

Material2 2935.500 1443.441 .297 -1521.74 7392.74

Material4 -2781.250 1443.441 .346 -7238.49 1675.99

Material5 2931.000 1443.441 .299 -1526.24 7388.24

Material4 Material1 5563.250* 1443.441 .012 1106.01 10020.49

Material2 5716.750* 1443.441 .009 1259.51 10173.99

Material3 2781.250 1443.441 .346 -1675.99 7238.49

Material5 5712.250* 1443.441 .009 1255.01 10169.49

Material5 Material1 -149.000 1443.441 1.000 -4606.24 4308.24

Material2 4.500 1443.441 1.000 -4452.74 4461.74

Material3 -2931.000 1443.441 .299 -7388.24 1526.24

Material4 -5712.250* 1443.441 .009 -10169.49 -1255.01


Homogeneous Subsets

FailureTime

Material N


1 2

Tukey HSDa Material2 4 6.25

Material5 4 10.75

Material1 4 159.75

Material3 4 2941.75 2941.75

Material4 4 5723.00

Sig. .297 .346



Jawaban 3.17


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Descriptives

ParticleCount




Method1 5 13.40 12.462 5.573 -2.07 28.87 1 3

Method2 5 38.20 14.567 6.515 20.11 56.29 24 6

Method3 5 73.00 36.490 16.319 27.69 118.31 27 12

Total 15 41.53 33.551 8.663 22.95 60.11 1 12


ParticleCount


3.844 2 12 .051

ANOVA

ParticleCountSum of Squares df Mean Square F Sig.

Between Groups 8963.733 2 4481.867 7.914 .006

Within Groups 6796.000 12 566.333

Total 15759.733 14

Post Hoc Tests


Dependent Variable:ParticleCount

(I) Method (J) MethodMean Difference




Tukey HSD Method1 Method2 -24.800 15.051 .264 -64.95 15.35

Method3 -59.600* 15.051 .005 -99.75 -19.45

Method2 Method1 24.800 15.051 .264 -15.35 64.95

Method3 -34.800 15.051 .092 -74.95 5.35

Method3 Method1 59.600* 15.051 .005 19.45 99.75

Method2 34.800 15.051 .092 -5.35 74.95

Bonferroni Method1 Method2 -24.800 15.051 .376 -66.63 17.03

Method3 -59.600* 15.051 .006 -101.43 -17.77

Method2 Method1 24.800 15.051 .376 -17.03 66.63

Method3 -34.800 15.051 .118 -76.63 7.03

Method3 Method1 59.600* 15.051 .006 17.77 101.43

Method2 34.800 15.051 .118 -7.03 76.63


Homogeneous Subsets


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33

ParticleCount

Method N


1 2

Tukey HSDa Method1 5 13.40

Method2 5 38.20 38.20

Method3 5 73.00

Sig. .264 .092



Jawaban 3.30

Between-Subjects Factors

Value Label N

FeedRate 1 FeedRate10 5

2 FeedRate12 5

3 FeedRate14 5

4 FeedRate16 5

ProductionRun 1 ProductionRun1 4

2 ProductionRun2 4

3 ProductionRun3 4

4 ProductionRun4 4

5 ProductionRun5 4

Tests of Between-Subjects Effects

Dependent Variable:Dimension

SourceType III Sum of

Squares df Mean Square F Sig.

Corrected Model .008a 2 .004 2.862 .085

Intercept .011 1 .011 7.736 .013

FeedRate .007 1 .007 5.148 .037

ProductionRun .001 1 .001 .577 .458

FeedRate * ProductionRun .011 12 .001 . .

Error .024 17 .001

Total .250 20Corrected Total .032 19

a. R Squared = .252 (Adjusted R Squared = .164)

Jawaban 4.13

Univariate Analysis of Variance


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Value Label N

Distance 1 Distance4 5

2 Distance6 5

3 Distance8 5

4 Distance10 5

Subject 1 Subject1 4

2 Subject2 4

3 Subject3 4

4 Subject4 4

5 Subject5 4


Dependent Variable:FocusTime



Corrected Model 42.490a 2 21.245 8.587 .003

Intercept 164.743 1 164.743 66.587 .000

Distance 28.090 1 28.090 11.354 .004

Subject 14.400 1 14.400 5.820 .027

Distance * Subject 15.300 12 1.275 . .

Error 42.060 17 2.474

Total 555.000 20

Corrected Total 84.550 19

a. R Squared = 1.000 (Adjusted R Squared = .)

Jawaban 4.14


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Value Label N

Batch 1 Batch1 5

2 Batch2 5

3 Batch3 5

4 Batch4 5

5 Batch5 5

Day 1 Day1 5

2 Day2 5

3 Day3 5

4 Day4 5

5 Day5 5

Ingredient 1 IngredientA 5

2 IngredientB 5

3 IngredientC 5

4 IngredientD 5

5 IngredientE 5


Dependent Variable:ReactionTime



Corrected Model 79.580a 3 26.527 4.384 .015

Intercept 156.917 1 156.917 25.935 .000

Batch .180 1 .180 .030 .865

Day .020 1 .020 .003 .955

Ingredient 79.380 1 79.380 13.120 .002

Batch * Day .000 0 . . .

Batch * Ingredient .000 0 . . .

Day * Ingredient .000 0 . . .

Batch * Day * Ingredient .000 0 . . .

Error 127.060 21 6.050

Total 1071.000 25

Corrected Total 206.640 24

a. R Squared = .385 (Adjusted R Squared = .297)


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JAWABAN LATIHAN CHAPTER 3 DAN 4

TUGAS MATA KULIAHDESAIN DAN ANALISIS EKSPERIMEN

Dosen: Dr. Suparman I.A., M.Sc.

Oleh:

Vera AsdayantiNPM 20127270104

PROGRAM STUDI MATEMATIKA DAN ILMU PENGETAHUAN ALAMPROGRAM PASCASARJANA

UNIVERSITAS INDRAPRASTA PGRI2013

Documents

00-Jawaban Desain Dan Analisis Eksperimen 3.4 - 3.30