Kode Mata KuliahTB2205 / 2 SKS
Penyelenggara145 - Bioenergy and Chemurgical Engineering / FTI
KategoriLecture
Bahasa IndonesiaEnglish
Nama Mata KuliahStatistikaStatistics
Bahan Kajian
  1. Peranan Statistika dalam Kerekayasaan
  2. Peringkasan & Penampilan Data
  3. Variabel Acak & Distribusi Peluang
  4. Statistika Inferensial untuk 1-Sampel
  5. Statistika Inferensial untuk 2-Sampel
  6. Estimasi Parameter
  7. Percobaan 1-Faktor
  1. The Role of Statistics in Engineering
  2. Data Summarization & Presentation
  3. Random Variables & Probability Distributions
  4. Inferential Statistics for One-Sample
  5. Inferential Statistics for Two-Sample
  6. Parameter Estimation
  7. One-Factor Experiment
Capaian Pembelajaran Mata Kuliah (CPMK)
  1. Mampu menjelaskan konsep-konsep dasar statistika: variabel acak, distribusi peluang, distribusi pencuplikan, penciri data.
  2. Mampu mendeskripsikan data berdasarkan besaran-besaran penciri dan menggunakan grafik dengan bantuan komputer.
  3. Mampu menelaah dan mengambil kesimpulan tentang data pengukuran melalui perhitungan selang keyakinan dan uji hipotesis.
  4. Mampu menelaah korelasi antara variabel-variabel menggunakan regresi kuadrat terkecil dan menilai kecukupan penghampiran data dengan bantuan komputer.
  5. Mampu menjelaskan konsep-konsep dasar percobaan: struktur input-output, tujuan-tujuan umum percobaan, konsep pengacakan, replikasi dan blok.
  6. Mampu menyusun rancangan dan menelaah hasil percobaan 1-faktor dengan metode ANOVA menggunakan bantuan komputer.
  7. Mampu menyusun rancangan dan menelaah hasil percobaan faktorial penuh dengan metode ANOVA menggunakan bantuan komputer.
  1. Able to explain basic statistical concepts: random variables, probability distributions, sampling distributions, and data descriptors.
  2. Able to describe data using descriptive statistics and graphical methods with the help of computer software.
  3. Able to analyze and draw conclusions from measurement data through confidence interval calculations and hypothesis testing.
  4. Able to analyze the correlation between variables using least squares regression and assess the adequacy of data fitting with the help of computer software.
  5. Able to explain basic concepts of experimental design: input-output structure, general objectives of experiments, randomization, replication, and blocking.
  6. Able to design and analyze one-factor experiments using ANOVA with the help of computer software.
  7. Able to design and analyze full factorial experiments using ANOVA with the help of computer software.
Metode PembelajaranKuliah Klasikal Diskusi Kelompok Studi KasusLecture Group Discussion Case Study
Modalitas PembelajaranLuring Mandiri/KelompokOffline Individual/Group
Jenis NilaiABCDE
Metode PenilaianUjian, Tugas, dan KuisExam, Assignment, and Quiz
Catatan Tambahan