Statistics I

Course unit title

Statistics I

Course unit code

MAS101

Type of course unit (compulsory, optional)

Compulsory

Level of course unit (according to

EQF: first cycle Bachelor, second cycle Master)

First cycle Bachelor

Year of study when the course unit is delivered

(if applicable)

Year 1

Semester/trimester when the course unit is delivered

Semester 2

Number of ECTS credits allocated

3 credits (4.8 ECTS)

Name of lecturer(s)

Rudi Purwono, Dr

Edy Yuwono Slamet, Dr., SE., MA.,

Wasiaturrahma, SE., MSi.,

Soebagyo, Drs. Ec.,

Wisnu Wibowo, SE., MSi.,

Raditya Sukmana, Dr., SE., MA.,

Sochrul Rohmatul Ajijah, SE., MA

Learning outcomes of the course unit

Students are able to apply statistical methods in the fields of economics and business

Mode of delivery (face-to-face, distance learning)

Face to face (offline) and or distance learning (online)

Prerequisites and co-requisites (if applicable)

None

Course content

Statistics I discusses Data Compilation and Presentation, Central Value Measurement, Dispersion Measurement, Skewness and Kurtosis, Probability Concepts, Probability Distribution, Confidence Estimate and Interval, One Sample Hypothesis Testing, Two Sample Hypothesis Testing, Analysis of Variance (ANOVA), Chi Square

Recommended or required

reading and other learning resources/tools

1.              Douglas a. Lind, et al., 2012, Statistical Techniques in Business & Economics, 15th ed. McGraw-Hill, USA.

2.              Newbold, Paul, et.al., 2007, Statistics for Business and Economics,  6th edition, Prentice-Hall Inc., USA.

Planned learning activities and teaching methods

Teaching, discussions, presentation, and problem based learning.

Language of instruction

In Bahasa (Indonesian Language) and English

Assessment methods and criteria

Mid-exam, final-exam, and individual paper