Türkçe English Rapor to Course Content
COURSE SYLLABUS
MATHEMATICAL STATISTICS
1 Course Title: MATHEMATICAL STATISTICS
2 Course Code: EKO3201
3 Type of Course: Compulsory
4 Level of Course: First Cycle
5 Year of Study: 3
6 Semester: 5
7 ECTS Credits Allocated: 5
8 Theoretical (hour/week): 3
9 Practice (hour/week) : 0
10 Laboratory (hour/week) : 0
11 Prerequisites: No
12 Recommended optional programme components: None
13 Language: Turkish
14 Mode of Delivery: Face to face
15 Course Coordinator: Prof. Dr. Nuran Bayram
16 Course Lecturers:
17 Contactinformation of the Course Coordinator: E-posta:nuranb@uludag.edu.tr
Telefon:0224 2941126
Adres:Uludağ Üniversitesi Görükle Kampüsü
İktisadi ve İdari Bilimler Fakültesi
Ekonometri Bölümü
18 Website:
19 Objective of the Course: The objective of this course is to gain the knowledge of mathematical statistics perspective and to teach how to use these in the circumstances of business world.
20 Contribution of the Course to Professional Development
21 Learning Outcomes:
1 To be able to perform knowledge related to probability theory in the social life;
2 To be able to recognize and use random variables functions ;
3 To be able to comprehend the basics of discrete and continuous distributions ;
4 To be able to use the relations between distributions ;
5 To be able to perform point, interval estimations and hypothesis testing of averages, proportions, variances related to population in case of small sample ;
6 To be able to perform point, interval estimations and hypothesis testing of averages, proportions, variances related to population in case of big sample ;
7 To be able to build and test hypothesis about more than two population parameters ;
8 To be able to perform nonparametric analysis of Variance techniques ;
22 Course Content:
Week Theoretical Practical
1 Probability
2 Random variables
3 Random variables
4 Expected value, variance and moments
5 Expected value, variance and moments
6 Expected value, variance and moments
7 Discrete distributions (MİD-TERM EXAM)
8 Continuous distributions
9 Continuous distributions
10 Relations between distributions
11 Statistical decision theory and decision making
12 Statistical decision theory and decision making
13 Variance analysis
14 Variance analysis
23 Textbooks, References and/or Other Materials: Mustafa Aytaç, Matematiksel İstatistik, 6th Ed, Ezgi Kitabevi, Bursa, 2017.
Robert V. Hogg, Joseph W. McKean, Allen Thornton Craig, Introduction to Mathematical Statistics, Pearsın Education, 2005.
Irvın Miller, Maryless Miller, John E. Freund’s Mathematical Statistics, Prentice-Hall, New Jersey, 1999.
Steven F. Arnold, Mathematical Statistics, 1990.
Ron C. Mithelhammer, Mathematical Statistics for Economics and Business, Springer-Verlag, New Springer-Verlag, New York, 1996.
24 Assesment
TERM LEARNING ACTIVITIES NUMBER PERCENT
Midterm Exam 1 40
Quiz 0 0
Homeworks, Performances 0 0
Final Exam 1 60
Total 2 100
Contribution of Term (Year) Learning Activities to Success Grade 40
Contribution of Final Exam to Success Grade 60
Total 100
Measurement and Evaluation Techniques Used in the Course
Information
25 ECTS / WORK LOAD TABLE
Activites NUMBER TIME [Hour] Total WorkLoad [Hour]
Theoretical 14 3 42
Practicals/Labs 0 0 0
Self Study and Preparation 14 3 42
Homeworks, Performances 0 0 0
Projects 0 0 0
Field Studies 0 0 0
Midtermexams 1 20 20
Others 1 15 15
Final Exams 1 30 30
Total WorkLoad 149
Total workload/ 30 hr 4,97
ECTS Credit of the Course 5
26 CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12
LO1 4 3 4 4 3 3 4 3 4 3 3 4
LO2 3 4 4 3 4 4 3 4 4 3 4 3
LO3 4 3 3 4 4 4 3 3 4 3 4 3
LO4 3 4 3 3 4 4 5 4 4 3 4 4
LO5 4 4 4 3 3 4 5 5 5 3 3 3
LO6 4 4 4 5 3 4 5 5 5 3 5 4
LO7 3 4 4 4 4 3 2 3 3 4 3 4
LO8 4 5 3 4 3 3 4 4 4 4 4 4
LO: Learning Objectives PQ: Program Qualifications
Contribution Level: 1 Very Low 2 Low 3 Medium 4 High 5 Very High
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