Module Handbook


Module Name:

Statistics II

Module Level:


Abbreviation, if applicable:

MAS 201

Sub-heading, if applicable:


Courses included in the

module, if applicable:



4th / Second Year

Module coordinator(s):

Drs. Suliyanto, M.Si


Drs. Sediono., M.Si






Classification within the


Compulsory Course / Elective Studies

Teaching format / class

hours per week during semester:

2hours lectures (50 min / hour)


2hours lectures,2hour structural activities, 2hours individual study,

13 week per semester, and total 84 hours per semester 2.6 ECTS

Credit Points:




Learning goals/competencies:

General Competence (Knowledge)

Students can analyze the data using statistics inference method


Specific Competence :

Students are considered:

1. Being able to calculate confidence interval population parameters using real data.

2. Being able to test the population parameters using real data.

3. Being able to test data distribution, freedom of two variables, and some proportion with real data.

4. Being able to test the normality and homogeneity data with real data.

5. Being able to test the average k treatment using variance analysis on real data.

6. Being able to do inference for simple linear regression model with real data.

7. Being able to test the suitability of simple liear regression model using real data.




This course is delivered by means of lectures and discussions that cover topics confidence interval, hypothesis testing, test statistic chisquares, normality and homogeneity test, correlation and regression, and regression model fit tests.

Soft skill attribute

Honest, Discipline, Expression of Ideas, Cooperate, and Active

Study/exam achievements:

Students are considered to be competent and pass if at least get 40of Final score.

Final score (NA) is calculated as follow:

10% score of softskill + 20% assignment+ 30% UTS+ 40% UAS


Final index is defined as follow:

A : 75 100

AB : 70 - 74.99

B : 65 - 69.99

BC : 60 - 64.99

C : 55 - 59.99

D : 40 - 54.99

E : 0 - 39.99

Forms of Media:

LCD projectorsandwhiteboards

Learning Methods



1.       Dowdy S, Weardon S, and Chilko D, 2004. Statistics For Research, Third Edition, John Wiley & Sons, Inc, Canada.

2.       Steel, Robert G.D and Torrie, James H ( Penerjemah Sumantri, Bambang), 1980, Prinsip Dan Prosedur Statistik Suatu Pendekatan Biometrika, Penerbit PT Gramedia Pustaka Utama, Jakarta.

3.       Walpole, RE,1995, Pengantar Statistika, Edisi III, Gramedia, Jakarta.

4.       Walpole, RE & Myers, RH,1995, Ilmu Peluang dan Statistika untuk Insinyur dan Ilmuwan, Penerjemah : Sembiring, RK, Edisi IV, Penerbit ITB, Bandung.