Course Description
This course provides understanding and mastery of statistical and probability concepts for data analysis starting with measurement theory and terms related to statistics, the concept of probability, random variables both discrete and continuous, mathematical expectations, distribution functions of random variables both discrete and continuous, parameter estimation as well as hypothesis testing. In the discussion of hypothesis testing, it includes testing the difference in mean and variance for one or more samples, both independent and paired, simple linear regression analysis, multiple linear regression analysis, explanatory factor analysis, confirmatory factor analysis, non-parameteric statistical analysis and data collection techniques (methods). sampling).
Program Objectives (PO)
- Mampu memahami Konsep Statistika
- Mampu memahami Teori Proabilitas
- Mampu Memahami Variabel Random
- Mampu Memahami Konsep Ekspektasi Matematika
- Mampu Memahami Fungsi Distribusi Variabel Random Diskrit
- Mampu Memahami Fungsi Distribusi Variabel Random Kontinu
- Mampu Memahami Fungsi Distribusi Sampel
- Mampeu Memahami Konsep Estimasi Parameter dan Pengujian Hipotesis
- Mampu Melakukan Pengujian Perbedaan Mean/Varians Dua Sampel atau Lebih
- Mampu Melakukan Analisis Regresi Linier Sederhana
- Mampu Melakukan Analisis Regresi Linier Berganda
- Mampu Memahami Konsep Analisis faktor Eksplanatori
- Mampu Memahami Konsep Analisis Faktor Konfirmatori
- Mampu Memahami Konsep Statistika Non-Parametrik
- Mampu Memahami Konsep Teknik Sampling
- Mampu Mengaplikasikan Penyelesaian Masalah dengan Analisis Multivariat