Umi

Ummi wasilah121810401074

1. Apakah perbedaan berat badan dan tekanan darah sebelum dan sesudah perlakuan signifikan?

Paired Samples Statistics

Mean NStd.

Deviation

Std. Error Mean

Pair 1

tekanan darah awal

177.3500

10 14.45885 4.57229

tekanan darah 3 bulan

160.8000

10 11.73835 3.71199

Pair 2

berat awal 83.6080 10 9.09585 2.87636berat stlh 3 bulan 77.8000 10 6.77085 2.14113

Paired Samples Correlations

NCorrelati

on Sig.Pair 1

tekanan darah awal & tekanan darah 3 bulan

10 .056 .877

Pair 2

berat awal & berat stlh 3 bulan

10 .986 .000

Paired Samples Test

Paired Differences t df Sig. (2-tailed)

MeanStd.

DeviationStd. Error

Mean

95% Confidence Interval of the

Difference MeanStd.

DeviationStd. Error

Mean

Lower Upper Lower Upper Lower Upper Lower UpperPair 1 tkndrh0 -

tkndrh316,60000 18,15795 5,74205 3,61059 29,58941 2,891 9 ,018

Pair 2 brt0 - brt3 5,75800 2,73721 ,86558 3,79992 7,71608 6,652 9 ,000

Jawab :H0: tidak ada perbedaan tekana darah sebelum dan sesudah perlakuan makananH1: ada perbedaan tekanan darah sebelum dan sesudah perlakuan makanan

Pasangan tekanan darah nilai t hitungnya = 2,891 dan Sig (2-tailed) 0,018. Nilai Sig (2-tailed) 0,018 < 0,05, maka hipotesis nol ditolak.

Jadi pemberian perlakuan makanan khusus bagi penderita tekanan darah tinggi menurunkan tekanan darah pasien secara signifikan.

H0: tidak ada perbedaan berat badan sebelum dan sesudah perlakuan makanan

H1: ada perbedaan beratbadan sebelum dan sesudah perlakuan makanan

Pasangan berat badan nilai t hitungnya = 6,866 dan Sig (2-tailed) 0,000. Nilai Sig (2-tailed) 0,000 < 0,05, maka hipotesis nol ditolak.

Jadi pemberian makanan khusus bagi penderita obesitas mampu menurunkan berat badan pasien secara signifikan.

2. Mana di antara 4 medium itu yang mempunyai pengaruh pertumbuhan yang paling baik?H0:

Model Description

Model Name MOD_2Dependent Variable 1 ObservasiEquation 1 Linear

2 Growth(a)3 Exponential(a)

Independent Variable MetodeConstant IncludedVariable Whose Values Label Observations in Plots Unspecified

a The model requires all non-missing values to be positive.

Case Processing Summary

NTotal Cases 16Excluded Cases(a) 0Forecasted Cases 0Newly Created Cases 0

a Cases with a missing value in any variable are excluded from the analysis.

Variable Processing Summary

Variables

Dependent Independent

Observasi MetodeNumber of Positive Values

16 16

Number of Zeros 0 0Number of Negative Values

0 0

Number of Missing Values

User-Missing 0 0

System-Missing 0 0

ObservasiLinear

Model Summary

R R SquareAdjusted R

SquareStd. Error of the Estimate

.634 .402 .359 165.876

The independent variable is Metode.

ANOVA

Sum of Squares df Mean Square F Sig.

Regression 258440.112

1 258440.112 9.393 .008

Residual 385208.325

14 27514.880

Total 643648.437

15


Coefficients

Unstandardized Coefficients

Standardized Coefficients t Sig.

B Std. Error Beta B Std. ErrorMetode -113.675 37.091 -.634 -3.065 .008(Constant) 3216.000 101.578 31.660 .000

GrowthModel Summary



.645 .416 .375 .056


ANOVA


Regression .031 1 .031 9.987 .007Residual .044 14 .003Total .076 15


Coefficients



B Std. Error Beta B Std. ErrorMetode -.040 .013 -.645 -3.160 .007(Constant) 8.080 .034 234.996 .000

The dependent variable is ln(Observasi).

ExponentialModel Summary



.645 .416 .375 .056


ANOVA


Regression .031 1 .031 9.987 .007Residual .044 14 .003Total .076 15


Coefficients



B Std. Error Beta B Std. ErrorMetode -.040 .013 -.645 -3.160 .007(Constant) 3229.939 111.060 29.083 .000

The dependent variable is ln(Observasi).

Metode43.532.521.51

3200

3000

2800

2600

Observasi

ExponentialGrowthLinearObserved

Medium 2 memiliki pengaruh pertumbuhan yang paling baik

3. sUhu yang paling ideal?Between-Subjects Factors

Value Label NLarutan 1 Larutan A 5

2 Larutan B 53 Larutan C 54 Larutan D 5

Temperatur 1 Temperatur 1

4

2 Temperatur 2

4

3 Temperatur 3

4

4 Temperatur 4

4

5 Temperatur 5

4

Descriptive Statistics

Dependent Variable: Observasi

Larutan Temperatur Mean Std. Deviation NLarutan A Temperatur 1 73.00 . 1

Temperatur 2 68.00 . 1Temperatur 3 74.00 . 1Temperatur 4 71.00 . 1Temperatur 5 67.00 . 1Total 70.60 3.050 5

Larutan B Temperatur 1 73.00 . 1Temperatur 2 67.00 . 1Temperatur 3 75.00 . 1Temperatur 4 72.00 . 1Temperatur 5 70.00 . 1Total 71.40 3.050 5

Larutan C Temperatur 1 75.00 . 1Temperatur 2 68.00 . 1Temperatur 3 78.00 . 1Temperatur 4 73.00 . 1Temperatur 5 68.00 . 1Total 72.40 4.393 5

Larutan D Temperatur 1 73.00 . 1Temperatur 2 71.00 . 1Temperatur 3 75.00 . 1Temperatur 4 75.00 . 1Temperatur 5 69.00 . 1Total 72.60 2.608 5

Total Temperatur 1 73.50 1.000 4

Temperatur 2 68.50 1.732 4Temperatur 3 75.50 1.732 4Temperatur 4 72.75 1.708 4Temperatur 5 68.50 1.291 4Total 71.75 3.177 20

Levene's Test of Equality of Error Variances(a)


F df1 df2 Sig.

. 19 0 .

Tests the null hypothesis that the error variance of the dependent variable is equal across groups.a Design: Intercept+Larutan+Temperatur+Larutan * Temperatur

Tests of Between-Subjects Effects


SourceType III Sum of Squares df Mean Square F Sig.

Partial Eta Squared

Corrected Model 191.750(a) 19 10.092 . . 1.000Intercept 102961.250 1 102961.250 . . 1.000Larutan 12.950 3 4.317 . . 1.000Temperatur 157.000 4 39.250 . . 1.000Larutan * Temperatur 21.800 12 1.817 . . 1.000Error .000 0 .Total 103153.000 20Corrected Total 191.750 19

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

Estimated Marginal MeansLarutan * Temperatur


Larutan Temperatur

Mean Std. Error 95% Confidence Interval

Lower Bound Upper Bound Lower Bound Upper BoundLarutan A Temperatur 1

73.000 . . .

Temperatur 268.000 . . .




Larutan B Temperatur 173.000 . . .





Larutan C Temperatur 175.000 . . .





Larutan D Temperatur 173.000 . . .

Temperatur 2 71.000 . . .




Profile Plots

LarutanLarutan DLarutan CLarutan BLarutan A

Esti

mate

d M

arg

inal M

ean

s

77.5

75

72.5

70

67.5

Temperatur 5Temperatur 4Temperatur 3Temperatur 2Temperatur 1

Temperatur

Estimated Marginal Means of Observasi

4. buat rancangan penelitian,persamaan,plot distribusi hubungan x dan y,dan uji hipotesis (H1) dengan alpa 5%.

5.Average Linkage (Between Groups)

Agglomeration Schedule

Stage

Cluster Combined CoefficientsStage Cluster First

Appears Next Stage

Cluster 1 Cluster 2 Cluster 1 Cluster 2 Cluster 1 Cluster 21 46 57 .000 0 0 142 41 51 .000 0 0 103 12 44 .000 0 0 45

4 10 37 .000 0 0 285 29 31 .000 0 0 256 23 27 .000 0 0 387 3 7 .000 0 0 88 3 26 .004 7 0 109 39 50 .004 0 0 2010 3 41 .007 8 2 2011 33 58 .014 0 0 2312 6 52 .014 0 0 2713 8 49 .014 0 0 2414 32 46 .014 0 1 2315 16 24 .014 0 0 3016 9 59 .031 0 0 3117 17 25 .031 0 0 3018 1 2 .031 0 0 3119 14 22 .031 0 0 2520 3 39 .034 10 9 2621 4 30 .035 0 0 3922 35 40 .035 0 0 3523 32 33 .038 14 11 2724 8 34 .038 13 0 3725 14 29 .048 19 5 4626 3 18 .060 20 0 3627 6 32 .076 12 23 4028 10 11 .088 4 0 5329 43 55 .088 0 0 4530 16 17 .096 15 17 3531 1 9 .105 18 16 4132 38 45 .120 0 0 3833 53 54 .120 0 0 4034 20 21 .120 0 0 4235 16 35 .145 30 22 4336 3 36 .148 26 0 4337 8 42 .182 24 0 5038 23 38 .226 6 32 5139 4 15 .276 21 0 5440 6 53 .287 27 33 5241 1 60 .300 31 0 4442 13 20 .300 0 34 4943 3 16 .354 36 35 5044 1 47 .369 41 0 5645 12 43 .408 3 29 5146 14 56 .461 25 0 4847 19 28 .697 0 0 5448 5 14 .734 0 46 5549 13 48 .935 42 0 5950 3 8 1.006 43 37 5251 12 23 1.127 45 38 5752 3 6 1.201 50 40 5353 3 10 1.990 52 28 5654 4 19 2.048 39 47 5555 4 5 2.344 54 48 57

56 1 3 2.597 44 53 5857 4 12 4.243 55 51 5858 1 4 5.573 56 57 5959 1 13 7.710 58 49 0

* * * * * * H I E R A R C H I C A L C L U S T E R A N A L Y S I S * * * * * *

Dendrogram using Average Linkage (Between Groups)

Rescaled Distance Cluster Combine

C A S E 0 5 10 15 20 25 Label Num +---------+---------+---------+---------+---------+

mta 34 mda 58 bm 49 mta 33 mta 46 mta 5 mta 6 mda 53 mta 8 mta 54 mda 28 bm 42 bm 57 mda 44 mta 45 mta 43 mda 16 mda 35 bm 36 mta 40 mda 55 mta 7 mda 25 bm 41 bm 17 bm 50 mda 3 mta 26 mda 27 mta 37 mda 10 mda 39 bm 51 mta 12 bm 11 mta 38 bm 24 mta 18 bm 23

mda 52 mta 20 mta 30

* * * * * * H I E R A R C H I C A L C L U S T E R A N A L Y S I S * * * * * *

C A S E 0 5 10 15 20 25

Label Num +---------+---------+---------+---------+---------+

mda 4 bm 21 mda 9 mta 59 mta 56 mda 60 mta 29 bm 31 mta 14 bm 22 mta 2 mda 19 mda 47 mda 32 bm 1 mta 13 mda 15 mta 48

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