Course Description - Faculty of Economics

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PETRA CHRISTIAN UNIVERSITY
Faculty of Economics – Accounting Department
INTERNATIONAL BUSINESS ACCOUNTING PROGRAM (IBACC)
Course Syllabus
Course
Schedule
Lecturer
: Business Statistics
: Friday, 07.30-10.30
: Yohanes Sondang Kunto, S.Si., M.Sc.
Course Description:
This course discusses fundamental method of statistics including probability theory, descriptive
statistics, and basic inferential statistics. Introduction to these methods is given in order to offer
strong fundamental statistical knowledge, which is useful in preparing students for further courses or
self-learning in advance statistical method.
Goals & Expectation
Upon successful completion of this course, the students should have:
 A strong basic knowledge in statistics as a tool to transform data into useful information.
 Competency to take business decision-making, create simple modeling and prediction
based on statistical rules.
Required Materials:
1. Lind, D., W. Marchal and S. Wathen. (2012). Statistical Techniques in Business and
Economics with Global Data Sets. McGraw-Hill, New York
2. Walpole, R.. (1982). Introduction to Statistics. Prentice Hall.
3. Hill, T. and Lewicki P. (2007). Statistics Method and Application. Statsoft, Tulsa, OK.
Online version: www.statsoft.com/textbook
Reading Materials (Assignment-Group Presentation)
Related reading material from www.thejakartapost.com or www.kompas.com
Teaching Method
Students should be prepared for each meeting. The students are required to read reading material and
submit their summary before the class start. The class will discuss through the reading material
before discussing any statistical aspect that was implicitly or explicitly used in those reading
material. The discussion will continue to the conceptual aspect of statistics used in the reading
material. Therefore, student will understand how statistics are used in daily business topics. This
course is combination of tutorial and discussion on probability theory, descriptive statistics, and
basic inferential statistics for business decision-making, simple modelling and prediction. However,
not all aspects are discussed in the class. The class are designed to prepare the student entering
advance method in statistics or research methodology class.
BS Syllabus-IBAcc ‘14
1
Grading Components
No
1
2
3
4
Component
Group Assignment
Mini Test
Mid Test
Final Test
Weight
25%
25%
25%
25%
Read the chapter, submit the summary
The understanding of the theories must be reflected in the accurate calculations
The understanding, the process and the result are very important
Range
86-100
76-85
69-75
61-68
56-60
41-55
0-40
Grade
A
B+
B
C+
C
D
E
In Group Assignment, student should work in group of maximum 4 persons. Students are asked to
submit their written review in selected statistical topic from Lind et al (2008) and also
presenting their review in class. Written review should be submitted 3 days before the
presentation schedule. Grades of group assignment will be based on quality of writing (60%),
quality of presentation (40%).
In Mini Test, student should work individually in essay test format based on material in Chapter 10.
This mini test will assess students thinking framework of basic hypothesis formulation and
basic hypothesis testing in details.
In Mid Test and Final Test, student should work individually in multiple choices format test based on
previous material before (Mid Test) and after middle period (Final Test). Multiple choices
format is selected to ensure objectivity grading for every student. Mid Test and Final Test is
closed book. Students are allowed to use scientific calculator and handwritten formula notes.
Specific Rules
1. Before the class start, students are required to submit chapter summary of the topic that
would be discussed in the class. Student that did not submit their chapter summary without
any reasonable reason will not be allowed attending the class.
2. Be ready for the class; bring your calculator, and statistical table.
3. Lateness will result the not-present status on the attendance list.
4. Unable to follow 75% of the scheduled class meeting will cause failure to join the final exam.
5. Get the permission from the lecturer to go in and out the classroom!
6. Approval for skipping the class or exam must be from the DEAN.
7. Lateness in submitting the assignment will not be graded.
8. Any other rules must refer to Student guidebook and IBAcc Additional Rules.
Class Schedule
Week Date
I
Feb 21st
II
Feb 28th
III
Mar 7th
IV
Mar 14th
V
Mar 21st
VI
Mar 28th
BS Syllabus-IBAcc ‘14
Topics
Descriptive Statistics: center of measurement, dispersion of
measurement
Descriptive Statistics: data frequency
Fundamental Probability Theory, Conditional Probability, Bayes
Theorem
Sample and Population Concepts: expected value, variance, and
covariance
Discrete Theoretical Distribution: binominal, hypergeometry,
and poisson.
Continues Theoretical Distribution: normal, z-value, standardize
normal distribution, reading continues theoretical distribution






Reading
Walpole
ch. 1 & 2
Walpole
ch. 2
Lind et
al. ch. 5
Lind et
al. ch. 8
Lind et
al. ch. 6
Lind et
al. ch. 7
2
Apr 4
table.
One population confidence interval: z, t, and proportion

Lind et
al. ch. 9
VIII
Apr 25th
MIDTERM EXAM
On classroom exam – Closed book
Two population confidence interval: z, t, and proportion

IX
May 2nd
Lind et
al. ch. 9
Lind et
al. ch. 10
Lind et
al. ch. 10
Lind et
al. ch. 11
Hill and
Lewicki
Lind et
al. ch. 9,
10, 11
Hill and
Lewicki
Lind et
al. ch. 12
& 13
Lind et
al.
VII
th
May 9th
X
May 16th
XI
May 23rd
Hypothesis concepts, hypothesis test for one population: z, t, and
proportion.
Mini Test

Hypothesis test for two or more population: z, t, proportion, chisquare.
Introduction to SPSS
Hypothesis testing using SPSS, Correlation using SPSS




XII
XIII
May 30th
June 6th
Simple Linear Regression using SPSS
One way ANOVA
Introduction to advance statistical method

Group Task and Presentation

-
-
Advance Analysis of Variance (ch. 12)
Multiple Regression (ch. 14)
Index Numbers (ch. 15)
Time Series and Forecasting (ch. 16)
Nonparametric Methods (ch. 17 & 18)
Statistical Process Control and Quality Management (ch. 19)
An Introduction to Decision Theory (ch. 20)

FINAL EXAM
On classroom exam – Closed book
BS Syllabus-IBAcc ‘14
3
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