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1. tabel distribusi umur dengan sturges dengan histogram

kategori umur

FrequencyPercentValid PercentCumulative Percent

Valid22-2883.23.23.2

29-35228.88.812.0

36-423614.414.426.4

43-495321.221.247.6

50-564919.619.667.2

57-634016.016.083.2

64-702911.611.694.8

71-7772.82.897.6

78-8462.42.4100.0

Total250100.0100.0

2. buat variabel baru berupa variabel indeks massa tubuh dengan rumus bb/tb2 dan lanjutkan dengan membuat variabel kategori imt sesuai dengan ukuran asia.

kategori imt

FrequencyPercentValid PercentCumulative Percent

Validunderweight7128.428.428.4

healthy weight6526.026.054.4

overweight3012.012.066.4

heavily overweight4819.219.285.6

obese3614.414.4100.0

Total250100.0100.0

3. apakah imt berdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

kategori imt.220250.000.862250.000

a. Lilliefors Significance Correction

4. apakah kadar gula terdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

Gula darah sewaktu.263250.000.536250.000

a. Lilliefors Significance Correction

5.apakah total kolesterol terdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

Total kolesterol (mg/Dl).088250.000.921250.000

a. Lilliefors Significance Correction

6.apakah LDL terdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

LDL.093250.000.919250.000

a. Lilliefors Significance Correction

7. apakah Trigliserida berdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

Trigliserida (mmHg).200250.000.766250.000

a. Lilliefors Significance Correction

8. apakah HDL berdistribusi normal

Tests of Normality

Kolmogorov-SmirnovaShapiro-Wilk

StatisticdfSig.StatisticdfSig.

HDL.183250.000.905250.000

a. Lilliefors Significance Correction

9.buatlah kategorisasi gula darah menjadi dm dan non dm, sajikan dalam bentuk tabel da grafik

DM

FrequencyPercentValid PercentCumulative Percent

ValidNon DM22891.291.291.2

DM228.88.8100.0

Total250100.0100.0

10. sajikan genetik PJK dalam bentuk bar diagram

genetik PJK

FrequencyPercentValid PercentCumulative Percent

Validnegatif20481.681.681.6

positif4618.418.4100.0

Total250100.0100.0

11. sajikan pjk dalam bentuk tabel dan diagram

PJK

FrequencyPercentValid PercentCumulative Percent

Validnegatif18072.072.072.0

positif7028.028.0100.0

Total250100.0100.0

12. berapa korelasi antar IMT dan kadar gula darah

Correlations

kategori imtGula darah sewaktu

Spearman's rhokategori imtCorrelation Coefficient1.000.143*

Sig. (2-tailed)..024

N250250

Gula darah sewaktuCorrelation Coefficient.143*1.000

Sig. (2-tailed).024.

N250250

*. Correlation is significant at the 0.05 level (2-tailed).

13. buat kategorisasi kolesterol berdasarkan rujukan umum

Kolesterol

FrequencyPercentValid PercentCumulative Percent

Validnormal16365.265.265.2

agak ting5522.022.087.2

tinggi3212.812.8100.0

Total250100.0100.0

14. buat kategorisasi trigliserida berdasarkan rujukan umum

Trgliserida kat

FrequencyPercentValid PercentCumulative Percent

ValidNormal18975.675.675.6

Agak Tinggi2710.810.886.4

Tinggi3313.213.299.6

Sangat tinggi1.4.4100.0

Total250100.0100.0

15. buat kategorisasi LDL berdasarkan rujukan umum

LDL kat

FrequencyPercentValid PercentCumulative Percent

ValidNormal6626.426.426.4

Agak Tinggi7630.430.456.8

Tinggi5722.822.879.6

Sangat Tinggi5120.420.4100.0

Total250100.0100.0

16. buat kategorisasi HDL berdasarkan rujukan umum

17. Hitung angka kejadian PJK dengan profil lipid, sajikan dalam bentuk tabel dengan perintah crosstab dengan chisquarekolesterolChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square1.964a2.374

Likelihood Ratio1.9022.386

Linear-by-Linear Association.5301.467

N of Valid Cases250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 8,96.

trigliseridChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square13.627a3.003

Likelihood Ratio12.6263.006

Linear-by-Linear Association8.6131.003

N of Valid Cases250

a. 2 cells (25,0%) have expected count less than 5. The minimum expected count is ,28.

ldlChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square6.058a3.109

Likelihood Ratio6.5083.089

Linear-by-Linear Association2.0591.151

N of Valid Cases250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 14,28.

18. apakah ada hubungan antara genetik pjk dan kejadian pjk. Gunakan chisquare test

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square1.450E2a1.000

Continuity Correctionb140.6141.000

Likelihood Ratio148.6951.000

Fisher's Exact Test.000.000

Linear-by-Linear Association144.3781.000

N of Valid Casesb250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 12,88.

b. Computed only for a 2x2 table

19. apakah terdapat hubungan antara kategori imt dan kejadian pjk, chi square

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square24.567a4.000

Likelihood Ratio24.5164.000

Linear-by-Linear Association2.5891.108

N of Valid Cases250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 8,40.

20. apakah ada hubungan antara kategori umur dan kejadian pjk, chi square test

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square14.286a8.075

Likelihood Ratio14.0158.081

Linear-by-Linear Association.0791.779

N of Valid Cases250

a. 4 cells (22,2%) have expected count less than 5. The minimum expected count is 1,68.

21. apakah ada perbedaan kadar gula darah antar kelompok imt, gunakan anova

ANOVA

DM

Sum of SquaresdfMean SquareFSig.

Between Groups.2124.053.654.625

Within Groups19.852245.081

Total20.064249

22. apakah terdapat perbedaan kadar gula darah antar kelompok umur, anova

ANOVA

Gula darah sewaktu

Sum of SquaresdfMean SquareFSig.

Between Groups71410.71288926.3391.671.106

Within Groups1287269.9922415341.369

Total1358680.704249

23. apakah terdapat perbedaan kadar masing2 profil lipid berdasarkan jenis kelamin. Gunakan student test independent24. apakah terdapat perbedaan kadar masing2 profil lipid berdasarkan genetik pjk . Gunakan student test independent25.hitunglah berapa kolerasi antara gula darah dan hematokrit

Correlations

Gula darah sewaktuHemotokrit

Spearman's rhoGula darah sewaktuCorrelation Coefficient1.000.164**

Sig. (2-tailed)..009

N250250

HemotokritCorrelation Coefficient.164**1.000

Sig. (2-tailed).009.

N250250

**. Correlation is significant at the 0.01 level (2-tailed).

26. apakah terdapat hubungan antara masing2 kategori profil lipid berdasarkan profil lipid pjk, gunakan chisquareKolesterolChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square1.964a2.374

Likelihood Ratio1.9022.386

Linear-by-Linear Association.5301.467

N of Valid Cases250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 8,96.

TrigliseridaChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square13.627a3.003

Likelihood Ratio12.6263.006

Linear-by-Linear Association8.6131.003

N of Valid Cases250

a. 2 cells (25,0%) have expected count less than 5. The minimum expected count is ,28.

LDLChi-Square Tests

ValuedfAsymp. Sig. (2-sided)

Pearson Chi-Square13.627a3.003

Likelihood Ratio12.6263.006

Linear-by-Linear Association8.6131.003

N of Valid Cases250

a. 2 cells (25,0%) have expected count less than 5. The minimum expected count is ,28.

27.apakah terdapat hubungan kejadian dm dan kejadian pjk, gunakan chisquare

Chi-Square Tests

ValuedfAsymp. Sig. (2-sided)Exact Sig. (2-sided)Exact Sig. (1-sided)

Pearson Chi-Square.837a1.360

Continuity Correctionb.4441.505

Likelihood Ratio.7981.372

Fisher's Exact Test.455.248

Linear-by-Linear Association.8341.361

N of Valid Casesb250

a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 6,16.

b. Computed only for a 2x2 table

28. buatlah kategorisasi kadar hematokrit dengan formula sturges dan apakah ada hubungan kategori ini dengan kejadian pjk, gunakan chi square test

29. hitunglah apakah ada korelasi tekanan darah sistolik dengan kadar ldl

Correlations

Sistolik (mmHg)LDL kat

Spearman's rhoSistolik (mmHg)Correlation Coefficient1.000.128*

Sig. (2-tailed)..043

N250250

LDL katCorrelation Coefficient.128*1.000

Si