MET 3431 Statistics
APPLIES TO ACADEMIC YEAR 2014/2015

MET 3431 Statistics
Responsible for the course
Njål Foldnes
Department
Department of Economics
Term
According to study plan
ECTS Credits
7,5
Language of instruction
Norwegian
Introduction
This is a basic course in statistics. Main themes are descriptive statistics and statistical inference. In addition some emphasis is placed on acquiring basic skills in mathematics.
Learning outcome
Acquired knowledge
 To see the relevance and use of statistics in marketing and economics
 To think critically about the application of statistical methods
 To understand the relation between the population and the sample at hand, and how it is affected by randomness
 To be aware that statistical methods are based on assumptions that must be checked
 To understand the underlying ideas behind estimation and hypothesis testing
Acquired skills
 To be able to handle fractions, functions and graphs; and be able to read the mathematical notation that arises in statistical formulas
 To know how to use statistical software to produce graphics and numbers; to be able to interpret output from such software
 To be able to describe data with key statistics and graphical displays
 To be able to calculate simple probabilities and confidence intervals
 To know how to conduct tests of hypotheses for the mean and proportion in a population, or for the differences in mean in two populations
 To be able to do a regression analysis and interpret the result
Reflection
 The student should also be aware that statistical methods may be easily misused and misinterpreted. It is important that the judgment required for statistical analysis is fair and just.
Prerequisites
None.
Compulsory reading
Books:
Triola, Mario F. 2015. Essentials of statistics (Spesiell pakkeløsning for BI, med følgende vedlegg: Foundation Maths og ChiSquare and Analysis of Variance). 5th ed. AddisonWesley
Recommended reading
Books:
Ubøe, Jan. 2012. Statistikk for økonomifag. 4. utg. Gyldendal
Course outline
 Functions and graphs
 Describing data with measures of centrality and variation, as well as with graphical displays
 Discrete and continuous random variables
 Basic probability
 Estimation
 Confidence intervals
 Hypothesis testing
 Regression
 Chisquare test
Computerbased tools
SAS JMP is used as a teaching tool.
Learning process and workload
The course consists of 48 hours of lectures, including 10 hours of demonstration of statistical software. The problems studied in class and given as homework assignments will serve as a basis for the final examination.
Work requirement:
In the course of the semester 6 mandatory multiplechoice assignments will be given. These are submitted on It's Learning. Each assignment is assessed as either pass or fail. The student needs at least 4 passes in order to take the final exam.
Outline of workload for a student:
Activity  Use of hours 
Lectures  48 
It's Learning assignments  50 
Working with SAS JMP (or some statistical software)  32 
Textbook study  50 
Preparation for the examination  20 
Total  200 
Elearning
The elearning platform It’s Learning is used by the elearning centre to administrate the mandatory exercises, and make students able to communicate with each other and the lecturer. Module sessions are carried out at the beginning of the semester and before examinations. The elearning students are also offered a study guide that is an educational guide to the syllabus.
Outline of workload for a student:
Activity  Use of hours 
Lectures  8 
It's learning assignments  50 
Working with SAS JMP (or some statistical software)  36 
Textbook study  86 
Preparation for the examination  20 
Total  200 
Coursework requirements
The students must have passed four of the six multiplechoice tests in order to take the exam.
Examination
A five hour individual written exam concludes the course.
Examination code(s)
MET 34311 Examination that accounts for 100 % of the grade in MET 3431 Statistics, 7,5 ECTS credits..
Examination support materials
All support materials and calculator TEXAS INSTRUMENTS BA II Plus™ are allowed.
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
A resit examination is offered every term.
Students that have not passed five of the mandatory eight multiplechoice assignments must retake the exercises in connection with the next scheduled course and must pass five of the eight submitted multiplechoice assignments. Students that have not passed the written exam can retake the exam in the next semester.
Additional information
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