Student Pages
Undergraduate course

Basic Course in Statistics

Objectives and Content


To give an introduction to probability theory and statistical methods, with emphasis on the former


The main emphasis in this course is on probability models. Discrete and continuous distributions, among others the binomial, the hypergeometric, the exponential, the Poisson and the normal distributions are treated. Joint probability distributions and correlation are also covered. Examples are given from many areas. The last part of the course deals with principles for estimating unknown quantities using maximum likelihood, with confidence intervals, and with hypothesis testing.

Learning Outcomes

On completion of the course the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:


The student

  • Fundamental concepts in probability, such as expectation, variance and correlation.
  • Discrete and continuously distributed random variables
  • Law of large numbers and the central limit theorem
  • Joint and conditional distributions
  • Parameter estimation and confidence intervals
  • Hypothesis tests and p-values

General competence

The student

  • Has a practical understanding of the probability concept as it used broadly in society
  • Perform and interpret statistical analyses

Required Previous Knowledge

Matematikk R1 and R2, or similar

Access to the Course

To attend the course you must apply to and be admitted by UiB Videre, https://www.uib.no/utdanning/evu

Compulsory Assignments and Attendance


Forms of Assessment

Written examination, 5 hours.

Subject Overlap

STAT110: 10 sp, STAT101: 5 ECTS

Exam information

  • For written exams, please note that the start time may change from 09:00 to 15:00 or vice versa until 14 days prior to the exam. Autumn 2020 written exams will be arranged either at home or on campus. Please see course information on MittUiB.

  • Type of assessment: Written exam

    18.12.2020, 09:00
    5 hours
    Withdrawal deadline
    Examination system
    Digital exam