1. STATISTIKA DESKRIPTIF (Tabel Frekuensi, Crosstabs, Explore, Grafik, dll)
2. Pengujian Asumsi Data: Missing value analysis, outlier, linieritas, Uji Asumsi Klasik
(Normalitas data, Heteroskedastisitas, Autokorelasi, & Multikolinieritas), Uji Validitas &
Reliabilitas, Transformasi Data.
3. STATISTIKA INFERENSIAL (PARAMETRIK)A. UNIVARIAT : Uji t, ANOVA RAL, RAK,
Faktorial, Regresi untuk Rancob, dll.B. MULTIVARIAT : Analisis Faktor, Conjoint,
Diskriminan, Cluster Analysis (K-Means dan Hierarchical cluster), MANOVA, MANCOVA,
Canonical Correlation, Multidimensional Scalling (MDS), Correspondence Analysis (CA), dll.
4. ANALISIS KORELASI (Product Momen Pearson) & Regresi LinierSederhana & Berganda,
Regresi non-Linier (regresi binary, polinomial, dll).
5. STATISTIKA NONPARAMETRIKUji Binomial, Runtest, Chi-Square (Independency dan
Goodness Of fit), Mann-Whitney, Wilcoxon, Signtest, Kruskall-Wallis, Friedman, Cochran,
Korelasi (Spearman, Tau kendall, Gamma, Cramers, dll).
6. Bagan Kendali Statistik (Quality Control)
7. Struktural Equation Modelling (SEM)
8. Goal Programming*