SYLABBUS
FACULTY ECONOMIC AND BUSINESS
INTERNATIONAL PROGRAM FOR ISLAMIC ECONOMICS AND FINANCE (IPIEF) 1 Name of Course /
Module
Introduction to Statistical Methods 2 Course Code EI6411
3 Credit Value 3 credit
4 Objective This course is designed to provide students majoring in economics with an introduction to survey of many applications in descriptive and inferential statistics for economics applications
5 Learning Outcomes 1. Students could be able to use and measure using quantitative methods through statistical tools implementation
2. Student able to delivering the economics point of view into written and oral, hence, the students are able to utilize informatics technology to facilitate the works 6 Synopsis Statistics II discusses how to measure the descriptive and
inferential techniques which applied to answer the economics problems
7 References 1. Statistical Techniques in Business & Economics, Fifteenth Edition, Douglas A. Lind, William G.
Marchal, Samuel A.Wathen. 2012
2. Newbold, Paul, Carlson, W., Thorne, B., 4th Edition, Statistics of Business and Economics, Prentice Hall (NP).
3. Floyd, John. E., 2010. “Statistics for Economists: A Beginning”, University of Toronto (JEF)
4. Supporting journals.
8 Lecturer Dr. Abdullah M. Al-Ansi, MBA
9 Correspondence Lecturer Room, Pascasarjana 4TH Floor, 407
Email: [email protected] / [email protected] Cellphone: +6281252277534 (WA)
10 Consultation time By appointment
11 Academic Evaluation 1. Competency Test (Twice): 60% (CT 1 = 25%, CT 2 = 35%)
2. Attendance 10%
3. Assignments 20% (Twice) 4. Class Participation 10%
Total 100%
Lecture Plan:
1st Meeting What is Statistics?
2nd Meeting Describing Data Frequency Distribution 3rd Meeting Describing Data: Numerical Measures
4th Meeting Describing Data: Displaying and Exploring Data 5th Meeting A Survey of Probability Concepts
6th Meeting Discrete Probability Distributions 7th Meeting Continuous Probability Distributions 8th Meeting Competency Test I
9th Meeting Sampling Methods and Central Limits Theorem 10th Meeting Estimation and Confidence Intervals
11th Meeting One Sample Tests of Hypothesis 12th Meeting Two-Sample Tests of Hypothesis
13th Meeting Analysis of Variance, Correlation and Linear Regression 14th Meeting Index Numbers and Time Series and Forecasting
15th Meeting Nonparametric Methods: Goodness-of-Fit Tests, Analysis of Ranked Data 16th Meeting Test Competency II
Rules of class meeting:
1. Attendance point is measured from the percentage of students’ attendance for 18 meetings.
Formal letter is needed for students who skip the class, however, if there is no any formal letter or other documents to support the statement of the students, they are regarded as absent.
2. Late attendance is not favorable. If the student come late to the class more than 15 minutes, it considered as an absent.
3. Competency test 1st and 2nd are based on the previous material courses which delivered 3 to 4 times before the test. This point of assessment is expected to nurture integrity and independency of the students
4. Plagiarism and any kind of cheating during the test is strictly prohibited. If proven, students will considered failed for the competency test which carried out during the period.
5. Students are not allowed to skip any competency test and if it is happen, it will immediately considered as failure for the subject and earn “E” the transcript.
6. Students are allow to propose make up competency test, but it will be held once during this subject delivered in this semester.
Grading system:
Grading and Weight
Interval (%)
A A≥80
AB 75≤AB<80
B 65≤B<75
BC 60≤BC<65
C 50≤C<60
D 35≤D<50
E <35
