MET 1190 Statistics
APPLIES TO ACADEMIC YEAR 2014/2015

MET 1190 Statistics
Responsible for the course
Christian Brinch
Department
Department of Economics
Term
According to study plan
ECTS Credits
7,5
Language of instruction
Norwegian
Introduction
The use of abstract mathematical and statistical models to describe and analyze a complex reality has in many areas proved useful. In this course students are introduced to useful and well established methods that are applicable in practice.
Learning outcome
After completing the learning process described in this course description, students will:
Aquried Knowledge
Based on a through understanding of concepts and notions in probability and statistics, the students will understand that statistical techniques and methods are based on assumptions and requirements.
Aquired Skills
 be able to handle and analyze quantitative uncertainty and probability
 be able to model using discrete and continuous stochastic variables, and be capable in handling, analyzing and presenting data related to these with and without using computerized tools
 be able to handle the sample of a population and be capable in methods for statistical inference
 be able to select correct model and test in different situations and be able to conclude from these
 be able to compute with probabilities
 be able to estimate a simple regression model
Reflection
 On completion of the course the students will have developed a critical attitude towards results and the validity of statistical analysis.
Prerequisites
Basic skills in mathematics and statistics equivalent to admission requirements for the program.
Compulsory reading
Books:
Løvås, Gunnar G. 2013. Statistikk for universiteter og høyskoler. 3. utg. Universitetsforlaget. kap 17
Recommended reading
Course outline
 Descriptive statistics
 Stochastic experiments and stochastic variables
 Computation with probabilities, elementary set theory
 Discrete probability distributions
 Continuous probability distributions
 Inference for parameters in discrete probability distributions
 Inference for parameters in continuous probability distributions
 Estimation
 Hypothesis testing
 Simple linear regression
 Inference in simple linear regression model
 Selection of model and methods
Computerbased tools
Excel.
Learning process and workload
To each lecture there will be exercises and reading assignments. The student must gain knowledge from the material presented in the reading assignments and work through the exercises. Some of the exercises must be solved using Excel. The exam will require that the student has solved the exercises during the semester. Feedback will be given by sample solutions and presentations.
Workload for the student:
Activity  Use of hours 
Lectures  54 
Work with exercises (and computerbase tools)  96 
Reading assignments  40 
Preparation for final exam  10 
Recommended use of time  200 
Examination
A five hour individual exam, concludes the course.
Examination code(s)
MET 11901  Written exam, counts 100% towards the final grade in MET 1190 Statistics, 7,5 credits.
Examination support materials
All aids + calculator TEXAS INSTRUMENTS BA II Plus™ are allowed.
Students are encouraged to bring solutions to assignments that has been given trough the semester.
Examination support materials at written examiniations are explained under examination information in the student portal @BI. Please note use of calculator and dictionary. https://at.bi.no/EN/Pages/Exa_Hjelpemidlertileksamen.aspx
Resit examination
Resit examination is offered every term.
Additional information