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Valid for year : 2006
 
TAMS08 Statistics, First Course, 4,5 ECTS credits.
/Statistisk teori, grk/

For:   C   D   Fys   IT   Y   Yi  

 

Prel. scheduled hours: 52
Rec. self-study hours: 68

  Area of Education: Science

Subject area: Mathematics
  Advancement level (A-D): C

Aim:
The overarching aim of this course is to bring knowledge about statistical theory and methods, i.e. basic decision-methods applied to random data. Furthermore to point out applications in technology, economics and science. When the course is finished the student will be able to:
  • define models for describing random data
  • use statistical methods on random data
  • report on conclusions from calculations and to judge the reliability of the conclusions
  • use the statistical computerprogram named MINITAB
  • critically examine models and statistical analysis that will be met in other courses of the programme, as well as in publications (e.g. scientific documents) and in media


Prerequisites: (valid for students admitted to programmes within which the course is offered)
Calculus, matrix algebra and a first course in probability theory.

Note: Admission requirements for non-programme students usually also include admission requirements for the programme and threshhold requirements for progression within the programme, or corresponding.
Supplementary courses:
TAMS23 Statistical methods in bioinformatics TAMS47 Stochastic processes TAMS75 Design and analysis of experiments TSEA69 Image Processing TSRT52 Modelling and simulation TSRT35 Control Theory TMQU17 Quality Technology
Organisation:
Teaching is performed in groups and consists of lessons dealing with theory and exercises. Obligatory computer exercises are included in the course.
Course contents:
Point estimation according to the methods of moments, maximum likelihood and least squares. Chi-square, t- and F-distributions. Confidence intervals. Hypothesis testing. Chi-square tests. Random vectors. Multivariate normal distribution. Multiple linear regression. Descriptive statistics.
Course literature:
G. Blom, J. Enger, G. Englund, J. Grandell, L. Holst: Sannolikhetsteori och statistikteori med tillämpningar. Studentlitteratur. Compendium with exercises. Handbook of formulas published by the department.
Examination:
Written examination
Laboratory work
 2,5 p
0,5 p
 


Course language is Swedish.
Department offering the course: MAI.
Director of Studies: Eva Enqvist
Examiner: Torbjörn Linhardt
Link to the course homepage at the department


Course Syllabus in Swedish

Linköping Institute of Technology
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Contact: TFK , val@tfk.liu.se
Last updated: 10/06/2005