Mugi Wahidin, M.Epid Prodi Kesehatan Masyarakat Univ Esa Unggul.

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Presentation transcript:

Mugi Wahidin, M.Epid Prodi Kesehatan Masyarakat Univ Esa Unggul

 Pengertian dan Penggunaan Statistik Non- Parametrik  Kelebihan dan Kekurangan Statistik Non- Parametrik  Macam Statistik Non-Parametrik

≠ semua data berdistribusi normal  perlu uji statistik non-parametrik. Dg kelebihan : 1. ≠ perlu asumsi normalitas (distribusi data tidak normal) 2. Sampel sedikit (<30 sampel) 3. ≠ perlu perhitungan matematik yang rumit 4. Dapat menggantikan data numerik dengan jenjang 5. Bisa data kualitatif (skala nominal dan ordinal)

Kekurangan : 1. Uji hipotesis tidak setajam statistik parametrik 2. Hasil statistik non-parametrik tidak dapat diekstrapolasikan ke populasi studi  tidak dapat di-generalisasi

mulai Mulaitipe

Macam nya Macam nya Data berpasangan Data Tidak berpasangan Komparasi 2 sampel Komparasi > 2 sampel Asosiasi 1 sampel

Binomial 1 sampel Uji Run Nominal Ordinal

Data berpasangan Wilcoxon Sign Rank Test for Matched Pair (wilcoxon berpasangan) Uji Cochran Komparasi 2 sampel Komparasi > 2 sampel Uji Mc Nemar Uji Friedman Nominal Ordinal

Data ≠ berpasangan Uji X 2 k sampel Komparasi 2 sampel Komparasi > 2 sampel Uji Fisher Exact Uji Kruskall Wallis Nominal Ordinal Uji Mann U Whitney Uji Run Wald Wolfowitz Uji K-S

Uji Koefisien Kontingensi Asosiasi Uji Korelasi Spearman Uji Korelasi Kendall Tau Nominal Ordinal