Module Handbook

 

Module Name:

Statistics I

Module Level:

Bachelor

Abbreviation, if applicable:

MAS 102

Sub-heading, if applicable:

-

Courses included in the

module, if applicable:

-

Semester/term:

3rd / Second Year

Module coordinator(s):

Drs. Suliyanto, M.Si

Lecturer(s):

Marisa Rifada, S.Si., M.Si

 

Language:

BahasaIndonesia

Classification within the

curriculum

Compulsory Course / Elective Studies

Teaching format / class

hours per week during semester:

2hours lectures (50 min / hour)

Workload:

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

13 week per semester, and total 78 hours per semester 2.6 ECTS

Credit Points:

2

Requirements:

-

Learning goals/competencies:

General Competence (Knowledge)

Students can calculate the probability of random variables and applying it in real data

 

Specific Competence :

Students are considered :

1. Being able to make the presentation of data in tables and diagrams

2. Being able to calculate the measures of central tendency, layout and data dissemination

3. Being able to calculate the probability of an event using Bayes rule

4. Being able to calculate the probability density function of the random variable if known

5. Being able to calculate the mean and variance of linear combinations of random variables

6. Being able to calculate the probability of a random variable discrete probability distribution

7. Being able to calculate the probability of a random variable continuous probability distribution

8. Being able to calculate the probability of a random variable distributed sampling average, proportion and variance of one population and two populations

 

Content:

This course is delivered by means of lectures and discussion on the matter of descriptive statistics, measures of central tendency and dissemination of data, introduction to probability, random variable distribution, the expected value, type a discrete probability distribution, continuous probability distribution type, and distribution of sampling

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

Lectureandassessments

Literature:

[1]. Walpole, RE,1995, Pengantar Statistika, Edisi III, Gramedia, Jakarta.

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

[3]. McClave, James T, and Terry Sincich, 2000. Statistics, Eighth Edition, Prentice Hall, New Jersey.

Notes: