course-details-portlet

MET2010

Applied Statistics

Credits 7.5
Level Intermediate course, level II
Course start Autumn 2025
Duration 1 semester
Language of instruction Norwegian
Location Trondheim
Examination arrangement School exam

About

About the course

Course content

This course gives an introduction to various topics within statistical analysis and how to conduct data analyses using different tools and methods.

Topics covered in the course include:

  • Basic data handling, processing, and visualization
  • Hypothesis testing
  • Chi-square tests
  • Analysis of Variance (ANOVA)
  • F-tests, one-factor, and two-factor models
  • Repetition of simple linear regression and the least squares method
  • Multiple linear regression models
  • Confidence intervals and hypothesis testing for regression coefficients
  • Correlation analysis
  • Non-linear regression: quadratic, inverse, and log-linear models
  • Multicollinearity and autocorrelation
  • Residual analysis
  • Non-parametric statistics

Learning outcome

Knowledge

Upon completion of the course, students should have acquired knowledge of how to conduct and apply data analysis using various statistical techniques. This includes knowledge of:

  • The most commonly used types of statistical tests
  • Simple and multiple regression analysis
  • Hypothesis testing with regression analysis
  • Strengths and weaknesses of various statistical analysis techniques

Skills

Upon completion of the course, students should be able to apply acquired knowledge in conducting data analyses. This includes the ability to:

  • Handle, process, and visualize data
  • Assess the use of tests and methods based on data characteristics
  • Perform various types of statistical tests and methods using data tools
  • Conduct data analysis and interpret results using multiple regression

General competence

The student should have an understanding of all stages involved in high-quality data analysis. They should have a thorough understanding of the general principles for conducting statistical tests and substantial knowledge of the possibilities and limitations in using multiple regression models.

Learning methods and activities

Lectures and exercises.

Compulsory assignments

  • Obligatorisk skriftlig innlevering

Further on evaluation

Mandatory assignment must be passed to gain entry to the exam. This is a group project assignment with up to 3 students per group. Students can hand in individually or in a group of 2 if they wish.

Mandatory assignment will be specified at semester start.

Supporting material allowed on exams:

  • Formula sheet (attached to the exam) and approved calculator regarding NTNUs support material code B-D "specific basic calculator".
  • Other calculators that are allowed in the course are: Casio FC-100V and Texas Instruments - BAII Plus.

In the case of a re-sit exam and the final exam after the course has been discontinued, the form of assessment may be changed to an oral exam.

Specific conditions

Admission to a programme of study is required:
Business Administration (BØA)
Business Administration (BØAT)
Economics and Business Administration (MSIVØK5)

Required previous knowledge

None.

Course materials

The final syllabus is announced at the beginning of the semester.

Credit reductions

Course code Reduction From
ME220 6 sp Spring 2005
ME220 6 sp Spring 2005
ME210 6 sp Spring 2005
SØK1005 4 sp Autumn 2023
This course has academic overlap with the courses in the table above. If you take overlapping courses, you will receive a credit reduction in the course where you have the lowest grade. If the grades are the same, the reduction will be applied to the course completed most recently.

Subject areas

  • Statistics
  • Economics and Administration

Contact information

Course coordinator

Department with academic responsibility

NTNU Business School

Examination

Examination

Examination arrangement: School exam
Grade: Letter grades

Ordinary examination - Autumn 2025

School exam
Weighting 100/100 Examination aids Code D Date 2025-12-18 Time 15:00 Duration 4 hours Exam system Inspera Assessment
Place and room for school exam

The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.

Sluppenvegen 14
Room SL311 grønn sone
68 candidates
Room SL310 turkis sone
9 candidates
Room SL210
10 candidates

Re-sit examination - Summer 2026

School exam
Weighting 100/100 Examination aids Code D Duration 4 hours Exam system Inspera Assessment Place and room Not specified yet.