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SYLLABUS
Theory of Statistics, 6 ECTS Credits
 
COURSE CATEGORY   Course within Master´s Programme in Statistics, Data Analysis and Knowledge Discovery
MAIN FIELD OF STUDY   Statistik - STA
SUBJECT AREA  
  COURSE CODE   732A23
AIM OF THE COURSE
The course lays the theoretical foundation for professional work and research in statistics with special emphasis on inference methods but also on probability theory.

Having completed the course, the student should be able to:
- use knowledge about widely used methods in statistical inference,
- display a good understanding of the major principles for point estimation, interval estimation and hypothesis testing,
- employ the most common estimation and testing methods to different practical problems,
- use statistical software to illustrate and solve different inference problems,
- demonstrate insightful assessment of the presumptions for applying inference methods on a diversity of practical problems.
CONTENTS
The course content comprises:
- probability models and distributions,
- statistical inference with point estimation, confidence intervals, and hypothesis testing,
- large-sample theory,
- decision theory.
TEACHING
The teaching comprises lectures, seminars, and computer exercises. The lectures are devoted to presentations of theories, concepts, and methods. The seminars comprise student presentations and discussions of assignments. Computer exercises in which the students have access to supervision provide practical experience of data analysis.
Language of instruction: English.
EXAMINATION
Assignments encompassing both theoretical and computer-based exercises. One final written examination.

Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination.

Students who have passed an examination may not retake it in order to improve their grades.
ADMISSION REQUIREMENTS

Student’s entering the course should have passed at least one course in basic statistics. Also, courses in calculus and linear algebra are required. Documented knowledge of English equivalent to "Engelska B"; i.e. English as native language or an internationally recognized test, e.g. TOEFL (minimum scores: Paperbased 550 + TWE-score 4.0, computorbased 213 and internetbased 79), IELTS, academic (minimum score: Overall band 6.0 and no band under 5.0), or equivalent.
GRADING
The course is graded according to the ECTS grading scale A-F
CERTIFICATE
Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.
COURSE LITERATURE
The course literature is decided upon by the department in question.
OTHER INFORMATION
Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus.

The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.
 
Theory of Statistics
Theory of Statistics
 
Department responsible
for the course or equivalent:
MAI - Department of Mathematics
           
Registrar No: 1330/06-41   Course Code: 732A23      
    Exam codes: see Local Computer System      
Subject/Subject Area : Statistik - STA          
           
Level   Education level     Subject Area Code   Field of Education  
A1X   Advanced level     STA   SA  
The syllabus was approved by the Board of Faculty of Arts and Science 2006-12-18