Course Description

The Statistics course presents discussions on descriptive statistics, data distribution, middle measures, probability distributions and their properties, binomial distribution, poison distribution, hypergonic distribution, normal distribution, sampling distribution, statistical inference, interval estimation, hypothesis testing for one and two populations. population. Learning is carried out based on projects interspersed with discussion methods, questions and answers, assignments, matrix note strategies, summarizing, and drills.

Program Learning Outcomes (PLO)

PLO-2
Menunjukkan karakter tangguh, kolaboratif, adaptif, inovatif, inklusif, belajar sepanjang hayat, dan berjiwa kewirausahaan
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-4
Mengembangkan diri secara berkelanjutan dan berkolaborasi.