Statistika Inferensial Course

In this course, statistical theory will be studied which underlies the concept of decision making through hypothesis testing so that students can master the concept of sampling distribution, parameter estimation which includes point estimates, intervals, methods for determining estimators and properties of estimators. Then we also learn about hypothesis testing methods in normal distribution sampling through the application of mean and variance testing, linear regression analysis, both simple and multiple, logistic regression, Poisson and negative binomial regression, models for classification, clustering and applications in non-parametric statistical methods. In this way, students will have the learning experience to think critically and be able to make the right decisions regarding the use of these concepts

• PLO-3
  Mengembangkan pemikiran logis, kritis, sistematis, dan kreatif dalam melakukan pekerjaan yang spesifik di bidang keahliannya serta sesuai dengan standar kompetensi kerja bidang yang bersangkutan
• PLO-20
  Memiliki kemampuan (pengelolaan) manajerial tim dan kerja sama (team work), manajemen diri, mampu berkomunikasi baik lisan maupun tertulis dalam berbagai konteks profesional.
• PLO-22
  Mampu merancang dan mengembangkan algoritma untuk berbagai keperluan seperti analisis big data, kecerdasan artifisial, basis data, penambangan data, statistika inferensial, desain dan analisis algoritma, dan data warehouse.
• PLO-27
  Menguasai teori matematika, statistika, dan ilmu komputer/informatika

PO-1
Mahasiswa memahami makna statistika inferensial

PO-2
Mahasiswa memahami estimasi parameter

PO-3
Mahasiswa memahami pengujian hipotesis statistik

PO-4
Mahasiswa memahami konsep pemodelan