Hipotesis
H0 : Tidak terdapat perbedaan yang signifikan antara kelas eksperimen (menggunakan media blog) dengan kelas kontrol (tidak menggunakan media blog).
H1 : Terdapat perbedaan yang signifikan antara kelas eksperimen (menggunakan media blog) dengan kelas kontrol (tidak menggunakan media blog)
Taraf Signifikansi (α) = 5%
Rumus uji wilcoxon
src="data:image/png;base64,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">
Keterangan:
N = jumlah data
T = jumlah rangking dari nilai selisish yang negative atau positif
Kriteria Pengujian
H0 diterima dan H1 ditolak apabila nilai probabilitas > 0,05.
H0 ditolak dan H1 diterima apabila nilai probabilitas < 0,05.
Sumber:
Suharyadi dan Purwanto S.K. 2004. Statistik untuk Ekonomi dan Keuangan Modern. Jakarta: Salemba Empat.
Social Plugin