210011 Basic Statistics

Details
Department of Natural Sciences
Earliest Possible YearBSc. 1 year
DurationHalf a block
 
Credits7.5 (ECTS)
Course LevelBSc
 
ExaminationFinal Examination

written examination


Written Exam in Lecturehall

All aids allowed

Description of Examination: Four hours written exam. There are typically four problems to be answered.

Weight: 100 %



13-point scale, internal examiner

Dates of Exam:
22 June 2007
 
Organisation of TeachingLectures, exercises
 
Block PlacementBlock 4b
 
Teaching LanguageEnglish
 
Areas of Competence the Course Will Address
Competences obtained within basic science:
Knowledge of basic types of statistical estimation, confidence intervals and statistical tests.

Competences obtained within applied science:
Knowledge of how statistical methods are used to
analyse biological data.

Competences obtained within Ethics & Values:
Is aware of how statistics should be used to treat data without undue bias and subjective selection.
 
Course Objectives
The students will get some ideas on how statistics is used in planning and analysis of experiments. They should be able to understand simple statistical reasoning in the scientific literature, but they are not expected to able to carry out such analyses independently. The course also gives practical examples relevant in biology and some practice in the handling of data using a statistical computer program.
 
Course Contents
Basic concepts in probability and statistics:
Descriptive statistics
Binomial, Poisson and normal distributions
Point estimation
Hypothesis testing and interval estimation for one and two samples
Statistical tests
Regression analysis
Contingency tables
Basic analysis of variance
Statistical methods in genetics
Use of computer programs for statistical analysis
 
Teaching And Learning Methods
Lectures on basic concepts with examples from biology, in particular genetics and horticulture. Emphasis is placed on problem formulation, choice of statistical method and interpretation of the results from the statistical analysis. Classroom exercises with solving problems, many of which come from biology and experimental investigations.Examples of use of computers to perform statistical analysis.
 
Course Litterature
Literature for the course to be decided.
 
Course Coordinator
Mats Erik Rudemo, mru@life.ku.dk, Department of Natural Sciences/Statistik, Phone: 35332336
Helle Sørensen, helle@dina.kvl.dk, Department of Natural Sciences/Statistik, Phone: 35332363
 
Study Board
Study Committee NSN
 
Course Scope
lectures40
theoretical exercises40
preparation116
examination10

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