TMA4240 - Statistics


Examination arrangement

Examination arrangement: School exam
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 100/100 4 hours C

Course content

Descriptive statistics. Probabilities for an event and stochastic variables. Independent and dependent stochastic variables. Conditional probability. Monte Carlo simulation. Univariate and multivariate probability distributions. The most important classes of univariate probability distributions. Point estimation, interval estimation and hypothesis testing for one and two sample data. Simple linear regression.

Learning outcome

1. Knowledge. The student knows the mathematical basis for probability and statistical inference, can recognise simple statistical standard situations in technology and natural sciences, and know how these situations can best be analysed. 2. Skills. The student can calculate probabilities for events in simple situations. Further, the student can apply his or her knowledge of probability and statistics to recognise and analyse data from simple statistical situations in technology and natural sciences. In these analyses the student is capable of using Python or a similar programming language when this is necessary.

Learning methods and activities

Lectures and exercises. Parts of the teaching may be given in English.

Compulsory assignments

  • Exercises

Further on evaluation

Grade is given based on a final written examination. Retake of examination may be given as an oral examination.

Course materials

Will be announced at the start of the semester.

Credit reductions

Course code Reduction From To
SIF5060 7.5
ST0201 3.7
ST0101 3.7
ST1101 3.7
ST1201 3.7
TMA4245 7.5
ST0202 7.5 AUTUMN 2008
SIF5062 7.5 AUTUMN 2008
ST6201 3.7 AUTUMN 2008
ST6200 3.7 AUTUMN 2008
ST0103 7.5 AUTUMN 2009
MET1002 7.5 SPRING 2017
AR100219 7.5 AUTUMN 2019
REA1154 7.5 AUTUMN 2019
REA1154F 7.5 AUTUMN 2022

Version: 1
Credits:  7.5 SP
Study level: Foundation courses, level I


Term no.: 1
Teaching semester:  AUTUMN 2023

Language of instruction: Norwegian

Location: Trondheim

Subject area(s)
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Mathematical Sciences


Examination arrangement: School exam

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD School exam 100/100 C 2023-12-22 09:00 INSPERA
Room Building Number of candidates
SL111+SL210 Sluppenvegen 14 351
SL311 Sluppenvegen 14 311
SL310 Sluppenvegen 14 51
SL110 Sluppenvegen 14 137
Summer UTS School exam 100/100 C INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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