MET 2920 Statistics

MET 2920 Statistics

Course code:
MET 2920
Department:
Economics
Credits:
7.5
Course coordinator:
Pål Lauritzen
Product category:
Bachelor
Portfolio:
Bachelor - Core Courses
Semester:
2018 Spring
Active status:
Active
Teaching language:
Norwegian
Course type:
One semester
Introduction

Statistics is a basic statistics course that is included as a mandatory part of the bachelor programs in business administration subjects. The course is conducted in the spring semester.

Learning outcomes - Knowledge

After completing this course, students will have acquired knowledge of statistical concepts and thinking.

Learning outcomes - Skills

It is a goal that the course will enable students to plan and conduct investigations using the most commonly used statistical methods. Students will be able to interpret the analysis results from for instance reports or computer printouts. After completing the course students should be familiar with the use of computer tools for statistical analysis.

Learning Outcome - Reflection

The aim is to develop a critical attitude to the interpretation of statistical results and to be critical of the condition durability. Particular emphasis is placed on applications related to economic issues so that students will be able to use statistics in courses that come later in the programme.

Course content
• Descriptive statistics
• chapter  1
• Probability Models and Probability
• chapter  2 -4
• Probability Distributions and Estimation
• chapter  5 - 8 except Poisson-distribution, Opsjoner og Lotterimodellen
• Hypothesis Testing
• chapter  9
• Parametric and Non-parametric Tests
• chapter 10 except Wilcoxons test
• Correlation
• chapter 11 to page 276
Learning process and requirements to students

The course has 54 hours and will consist of lectures, where the curriculum is reviewed, exercises in statistics software, and assignments. Problem solution will be a central part of the joint lectures, where papers are introduced in class and feedback given when these are reviewed and discussed in class. Training / use of Excel will be integrated into teaching.

For each week a work program with literature references and tasks will be prepared. Students must acquire the substance in the reference literature and solve problems. Some of the tasks will be discussed in the plenary sessions. In lectures the theory will be discussed by using multiple data sets and related tasks. The final exam will be based on the assumption that the student has worked with these exercises throughout the semester.

E-learning
When course is delivered online, lecturer, in cooperation with the Academic Servises Network, will organize an appropriate combination of digital teaching and lectures. Online students are also offered a study guide to contribute to progression and overview. Total recommended time spent for completing the course also applies here.

Software tools
No specified computer-based tools are required.

For å støtte studentenes læreprosess, arrangerer BI seminargrupper og andre veiledningstilbud ved våre Campuser. Det oppfordres sterkt til at studentene deltar på disse tilbudene for å oppnå faglig mestring.

Qualifications

Higher Education Entrance Qualification.

Required prerequisite knowledge

None

Exam categoryWeightInvigilationDurationSupport materialsGroupingComment exam
Exam category:
Submission
Form of assessment:
Written submission
Exam code:
MET29201
ECTS
Internal and external examiner
Resit:
Examination every semester
100Yes5 Hour(s)
• BI-approved exam calculator
• Simple calculator
Individual
Exams:
 Exam category: Submission Form of assessment: Written submission Weight: 100 Invigilation: Yes Grouping (size): Individual Support materials: BI-approved exam calculator Simple calculator Duration: 5 Hour(s) Comment: Exam code: MET29201 Grading scale: ECTS Resit: Examination every semester
Exam organisation:
Ordinary examination
Total weight:
100
Workload activityDurationType of durationComment student effort
Teaching54Hour(s)
Prepare for teaching66Hour(s)
Group work / Assignments75Hour(s)
Examination5Hour(s)
Expected student effort:
 Workload activity: Teaching Duration: 54 Hour(s) Comment:
 Workload activity: Prepare for teaching Duration: 66 Hour(s) Comment:
 Workload activity: Group work / Assignments Duration: 75 Hour(s) Comment:
 Workload activity: Examination Duration: 5 Hour(s) Comment: