Persiapan Analisis Data

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2. Testing skew by Z-scoreZThe simplest test we can use is a z-score. zIn the case ofskew the z-score zis given by:The standard error of skew is given byz = skew − 0SE skewSE skew =6 Nwhere N is the number of cases in the sample.If a z score associated with the skew is greater than|±1.96| then the sample is significantly different fromnormal.In other words, a value of skew which is significantlydifferent from zero, would mean that we do not havenormally distributed data
Cara menentukan nilai Z:pilih menu Analyze – Descriptive Statistics –DescriptivesMasukkan Variabel pada kotak Variable(s)Aktifkan pilihanpilihan: : Save standardized value asvariable (akan(ada tambahan variable barudi file yaitu nilai z)Klik pilihan Continue dan OKDistribusi Nilai Z (jika(terletak antara – 1,96sampai +1,96 pada taraf signifikansi 5 %)
Page 3 and 4: Keberlakuan hasil penelitian (padaa
Page 5 and 6: JENIS STATISTIKStatistik Deskriptif
Page 7 and 8: JENIS UJI STATISTIKMacamDataNominal
Page 9 and 10: Menguji Normalitas Data Data interv
Page 11 and 12: Pengujian Distribusi Normal
Page 13 and 14: 1. Ratio Skewness dan Kurtosis: Rat
Page 15: Pada SPSS, RatioSkewness dan Kurtos
Page 19 and 20: 4. Uji Kolmogorov Smirnovdan Shapir
Page 21 and 22: Cara Membaca OutputTests of Normali
Page 23 and 24: Pilih variabel yang akandiuji dan d
Page 25: Apa yang harus dilakukan jikasebara

Persiapan Analisis Data

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