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1
Statistics
Kalkulasi Sturgess(Umur)
N Valid 133
Missing 0
Mean 4.17
Median 4.00
Mode 5
Std. Deviation 1.598
Variance 2.553
Range 7
Minimum 1
Maximum 8
Percentiles 25 3.00
50 4.00
75 5.00
Kalkulasi Sturgess
Frequency Percent Valid Percent
Cumulative
Percent
Valid 1 4 3.0 3.0 3.0
2 16 12.0 12.0 15.0
3 30 22.6 22.6 37.6
4 25 18.8 18.8 56.4
5 34 25.6 25.6 82.0
6 12 9.0 9.0 91.0
7 9 6.8 6.8 97.7
8 3 2.3 2.3 100.0
Total 133 100.0 100.0
2.
Statistics
PJK
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N Valid 133
Missing 0
Mode 0
Range 1
Percentiles 25 .00
50 .00
75 1.00
PJK
Frequency Percent Valid Percent
Cumulative
Percent
Valid Tidak Berisiko PJK 95 71.4 71.4 71.4
Berisiko PJK 38 28.6 28.6 100.0
Total 133 100.0 100.0
3.
Statistics
PJK
N Valid 133
Missing 0
Mode 0
Range 1
Percentiles 25 .00
50 .00
75 1.00
PJK
Frequency Percent Valid Percent
Cumulative
Percent
Valid Tidak Berisiko PJK 95 71.4 71.4 71.4
Berisiko PJK 38 28.6 28.6 100.0
Total 133 100.0 100.0
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4.
Hipertensi * PJK Crosstabulation
PJK
Total
Tidak Berisiko
PJK Berisiko PJK
Hipertensi Tidak Hipertensi Count 38 14 52
% within Hipertensi 73.1% 26.9% 100.0%
Hipertensi Count 57 24 81
% within Hipertensi 70.4% 29.6% 100.0%
Total Count 95 38 133
% within Hipertensi 71.4% 28.6% 100.0%
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square .114a 1 .736
Continuity Correctionb .020 1 .888
Likelihood Ratio .114 1 .735
Fisher's Exact Test .845 .447
Linear-by-Linear Association .113 1 .737
N of Valid Casesb 133
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,86.
b. Computed only for a 2x2 table
P:0,888
Ho diterima
5.
PJK * Hipertensi Crosstabulation
Hipertensi
TotalHipertensi Tidak Hipertensi
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PJK Tidak Berisiko PJK Count 57 38 95
% within Hipertensi2 70.4% 73.1% 71.4%
Berisiko PJK Count 24 14 38
% within Hipertensi2 29.6% 26.9% 28.6%
Total Count 81 52 133
% within Hipertensi2 100.0% 100.0% 100.0%
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square .114a 1 .736
Continuity Correctionb .020 1 .888
Likelihood Ratio .114 1 .735
Fisher's Exact Test .845 .447
Linear-by-Linear Association .113 1 .737
N of Valid Casesb 133
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,86.
b. Computed only for a 2x2 table
P : 0,888
Ho diterima
Risk Estimate
Value
95% Confidence Interval
Lower Upper
Odds Ratio for PJK2 (Tidak
Berisiko PJK / Berisiko PJK) .875 .403 1.902
For cohort Hipertensi2 =
Hipertensi.950 .709 1.274
For cohort Hipertensi2 =
Tidak Hipertensi1.086 .669 1.761
N of Valid Cases 133
OR = 0,875Orang yang tidak berisiko PJK mempunyai peluang 0,875 kali hipertensi
dibandingkan yang berisiko PJK.
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6.
PJK * Umur(Kalkulasi Sturgess) Crosstabulation
Umur(Kalkulasi Sturg
1 2 3 4 5
PJK Tidak Berisiko PJK Count 3 10 21 21
% within Umur(Kalkulasi
Sturgess)75.0% 62.5% 70.0% 84.0% 70
Berisiko PJK Count 1 6 9 4
% within Umur(KalkulasiSturgess)
25.0% 37.5% 30.0% 16.0% 29
Total Count 4 16 30 25
% within Umur(Kalkulasi
Sturgess)100.0% 100.0% 100.0% 100.0% 100
Chi-Square Tests
Value dfAsymp. Sig. (2-
sided)
Pearson Chi-Square 3.847a 7 .797
Likelihood Ratio 3.961 7 .784
Linear-by-Linear Association .029 1 .864
N of Valid Cases 133
a. 7 cells (43,8%) have expected count less than 5. The minimum
expected count is ,86.
P : 0,864
Ho diterima
7.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
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1 .102a .010 .003 22.250
a. Predictors: (Constant), Umur(Kalkulasi Sturgess)
R : 0,102
Rsquare : 0.010variansi nilai Tekanan Darah Sistolik oleh Umur dapat dijelaskan sebesar1% (sangat lemah).Kurang baik untuk menjelaskan variabel Tekanan Darah Sistolik
ANOVAb
Model Sum of Squares Df Mean Square F Sig.
1 Regression 685.112 1 685.112 1.384 .242a
Residual 64855.820 131 495.083
Total 65540.932 132
a. Predictors: (Constant), Umur(Kalkulasi Sturgess)
b. Dependent Variable: Sistolik
P value : 0,242
Model regresi sederhana tidak cocok dengan data yang ada
Tidak ada hubungan yang signifikan antara umur dengan tekanan darah sistolik
Coefficientsa
Model
Unstandardized Coefficients
Standardized
Coefficients
t Sig.B Std. Error Beta
1 (Constant) 138.028 5.413 25.498 .000
Umur(Kalkulasi Sturgess) 1.426 1.212 .102 1.176 .242
a. Dependent Variable: Sistolik
8.
Group Statistics
Tinggi
rendah
IMT N Mean Std. Deviation Std. Error Mean
Sistolik Rendah 88 138.98 20.726 2.209
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Group Statistics
Tinggi
rendah
IMT N Mean Std. Deviation Std. Error Mean
Sistolik Rendah 88 138.98 20.726 2.209
Tinggi 44 153.61 22.425 3.381
Independent Samples Test
Levene's Test for Equality of
Variances
F Sig. t df Sig. (2-tailed)
Sistolik Equal variances assumed 1.014 .316 -3.721 130 .000
Equal variances not assumed -3.624 80.333 .001
P levene: 0,316 >0,05 equal
P value : 0,000 < 0,05
Ho ditolakTerdapat perbedaan yang signifikan rata-rata tekanan darah sistolik antara kelompok
umur.
9 KATEK SOAL
10
Tests of Normality
Kolmogorov-Smirnova Shapiro-Wilk
Statistic df Sig. Statistic df Sig.
Gula Darah Sewaktu .288 133 .000 .507 133 .000
a. Lilliefors Significance Correction
P : 0,000
Ho ditolakdistribusi tidak normal
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Titik2 dak deket samo garisdak normal
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Box plot idak tebagi mendekati 50:50dak normal
11
PJK * LDL_Skala Crosstabulation
LDL_Skala
TotalTinggi Rendah
PJK Tidak Berisiko PJK Count 25 70 95
% within LDL_Skala 69.4% 72.2% 71.4%
Berisiko PJK Count 11 27 38
% within LDL_Skala 30.6% 27.8% 28.6%
Total Count 36 97 133
% within LDL_Skala 100.0% 100.0% 100.0%
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Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square .095a 1 .758
Continuity Correctionb .009 1 .926
Likelihood Ratio .094 1 .759
Fisher's Exact Test .830 .458
Linear-by-Linear Association .095 1 .759
N of Valid Casesb 133
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 10,29.
b. Computed only for a 2x2 table
P : 0,926Ho diterimatidak ada hubungan
12.
PJK * DM Crosstabulation
DM
TotalTidak DM DM
PJK Tidak Berisiko PJK Count 86 9 95
% within DM 71.7% 69.2% 71.4%
Berisiko PJK Count 34 4 38
% within DM 28.3% 30.8% 28.6%
Total Count 120 13 133
% within DM 100.0% 100.0% 100.0%
Chi-Square Tests
Value df
Asymp. Sig. (2-
sided)
Exact Sig. (2-
sided)
Exact Sig. (1-
sided)
Pearson Chi-Square .034a
1 .853
Continuity Correctionb .000 1 1.000
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Likelihood Ratio .034 1 .854
Fisher's Exact Test 1.000 .540
Linear-by-Linear Association .034 1 .854
N of Valid Casesb 133
a. 1 cells (25,0%) have expected count less than 5. The minimum expected count is 3,71.
b. Computed only for a 2x2 table
P :1
Ho diterimatidak ada hubungan
13
PJK * Genetik Crosstabulation
Genetik
TotalGenetik PJK
Tidak Genetik
PJK
PJK Tidak Berisiko PJK Count 95 0 95
% within Genetik 87.2% .0% 71.4%
Berisiko PJK Count 14 24 38
% within Genetik 12.8% 100.0% 28.6%
Total Count 109 24 133
% within Genetik 100.0% 100.0% 100.0%
Chi-Square Tests
Value dfAsymp. Sig. (2-
sided)Exact Sig. (2-
sided)Exact Sig. (1-
sided)
Pearson Chi-Square 73.211a 1 .000
Continuity Correctionb 69.003 1 .000
Likelihood Ratio 75.556 1 .000
Fisher's Exact Test .000 .000
N of Valid Casesb 133
a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,86.
b. Computed only for a 2x2 table
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P : 0,000
Ho ditolak : ada hubungan
14
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .003a .000 -.008 54.724
a. Predictors: (Constant), Hemotokrit
R square : 0,000..
Varians nilai total kolesterol oleh hemotokrit adalah 0% (sangat lemah)
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 3.009 1 3.009 .001 .975a
Residual 392302.961 131 2994.679
Total 392305.970 132
a. Predictors: (Constant), Hemotokrit
b. Dependent Variable: Total Cholesterol
P : 0,975
Tidak terdapat korelasi yang bermakna antara jumlah hematokrit dan total kolesterol
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15
Group Statistics
LDL_Skala N Mean Std. Deviation Std. Error Mean
Sistolik Tinggi 36 139.17 20.100 3.350
Rendah 97 145.76 22.880 2.323
Diastolik Tinggi 36 91.47 22.008 3.668
Rendah 97 91.03 15.142 1.537
Independent Samples Test
Levene's Test for Equality of
Variances t-test for Equ
F Sig. t df Sig. (2-tailed) Mean Differen
olik Equal variances assumed 2.162 .144 -1.524 131 .130 -6.
Equal variances not assumed -1.618 70.788 .110 -6.
tolik Equal variances assumed .358 .551 .131 131 .896 .
Equal variances not assumed .111 47.839 .912 .
Bila tekanan darah yang dimaksud soal Adalah sistolik maka
P Levene : 0,144 > 0,05 equal
P : 0,130
Ho diterimatidak ada perbedaan yang signifikan
Namun, bila tekanan darah ynag dimaksud soalah adalah diastolikmaka
P levene : 0,551 > 0,05equal
P : 0,896
Ho diterimatidak ada perbedaan yang signifikan
16
Group Statistics
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Tinggi
rendah
IMT N Mean Std. Deviation Std. Error Mean
Total Cholesterol Rendah 88 184.18 52.819 5.630
Tinggi 44 194.34 57.772 8.709
Independent Samples Test
Levene's Test for Equality of Variances t-t
F Sig. t df Sig. (2-tailed) Me
l Cholesterol Equal variances assumed .371 .543 -1.009 130 .315
Equal variances not assumed -.980 79.583 .330
Plevene :0,543equal
P : 0,315
Ho diterimatidak ada perbedaan yang signifikan
17
Group Statistics
Tinggi
rendah
IMT N Mean Std. Deviation Std. Error Mean
Gula Darah Sewaktu Rendah 88 138.25 94.660 10.091
Tinggi 44 142.25 77.948 11.751
Independent Samples Test
Levene's Test for Equality of Variances
F Sig. t df Sig. (2-tailed)
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a Darah Sewaktu Equal variances assumed .046 .831 -.242 130 .809
Equal variances not assumed -.258 102.303 .797
Plevene : 0,831equal
P : 0,809
Ho diterimatidak ada perbedaan yang signifikan
18.
Model Summary
Model R R Square
Adjusted R
Square
Std. Error of the
Estimate
1 .285a .081 .074 52.452
a. Predictors: (Constant), Gula Darah Sewaktu
Rsquare : 0,081
Varians total kolesterol oleh kadar gula darah sewaktu dapat dijelaskan sebesar 8,1% (sangat lemah)
ANOVAb
Model Sum of Squares df Mean Square F Sig.
1 Regression 31892.933 1 31892.933 11.592 .001a
Residual 360413.037 131 2751.245
Total 392305.970 132
a. Predictors: (Constant), Gula Darah Sewaktu
b. Dependent Variable: Total Cholesterol
P : 0,01
Ho ditolakterdapat hubungan korelasi yang bermakna antara total kolesterol dan kadar GDS
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