Statistika Bisnis (D)
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1. Introduction
Week 1
2. Statistika Deskriptif
Week 2
Data Jam Tidur dan Lemparan
Data Nilai Siswa
3. Estimasi dan Uji Hipotesis 1
Week 3
standard normal table
Week 4
Data Terbaru
Estimasi dan Uji Hipotesis 1
4. Uji Hipotesis 2
Uji Hipotesis 2
6. Statistika Nonparametrik dan Korelasi
Week 6
Data Gabungan
Week 7
systolic
Tugas 1
7. Introduction to Linear Regression
exercise-manufacturing process
strength
8. Introduction to Linear Regression 2
Linear Regression 2
Tugas 2
Section 9
[Slide] Variable Selection in Multiple Regression
[Data] Stepwise
[Recorded Material] Variable Selection in Multiple Regression
Section 10
[Recorded Material] Binary Logistic Regression
[Slide] Binary Logistic Regression
[Data] Regresi Logistik
[Data SPSS] Regresi Logistik
Section 11
[Recorded Material] Multinomial and Ordinal Logistic Regression
[Slide] Multinomial and Ordinal Logistic Regression
[Data] Multinomial and Ordinal Logistic Regression
Tugas 1
Section 12
[Recorded Material] PCA and FA
[Slide] PCA and FA
[Data] Loan Applicant
Section 13
Intro Cluster Analysis
[Slide] Intro Cluster Analysis
[Slide] K Mean Cluster
[Recorded Material] Intro Cluster Analysis
Section 14
[Slide] Cluster Analysis
[Slide] Hierarchical Clustering
[Recorded Material] Hierarchical Clustering
[Data] Loan Applicant
[Slide] USA Arrests
Section 15
[Recorded Material] Time Series
[Slide] Intro to Time Series Forecasting
[Data] Time Series
[R Code] Auto ARIMA
Section 16
Time Series Regression
[Slide] Time Series Regression
[Data] Time Series
Tugas 2
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Statistika Bisnis (D)
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Institut Teknologi Sepuluh Nopember
Magister
Sekolah Interdisiplin Manajemen Teknologi
S-2 MANAJEMEN TEKNOLOGI MANAJEMEN TEKNOLOGI INFORMASI
Semester Gasal 2022/2023
Statistika Bisnis (D)
Summary
Statistika Bisnis (D)
Teacher:
Jerry Dwi Trijoyo Purnomo
Teacher:
Muhammad Ahsan