Course code STAT321

STAT321 Theoretical Statistics I

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Showing course contents for the educational year starting in 2020 .

Course responsible: Thore Egeland
Teachers: Kathrine Frey Frøslie
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: EN
(NO=norsk, EN=Engelsk)
Limits of class size:
50
Teaching exam periods:
The course starts in the autumn semester. Teaching and evaluation in the autumn semester.
Course frequency: Annually.
First time: 2016H
Last time: 2020V
Course contents:
  • Basic ditribution theory (Binomial, Poisson, normal, t, F and Chi square distribution).
  • Multvariate and marginal distributions, transfomations.
  • Population mean, variance, covariance, correlation and independence.
  • Estimation, confidence interval and hypothese testing.
  • Linear models (ANOVA, Regression) by marix noation.
Learning outcome:

KNOWLEDGE: Students will learn the ideas in probability and statistics beyond the basics. They will become familiar with the conditions for, and use of, statistical methods, especially regression, used to make conclusions about general populations on the basis of population samples.

SKILLS: Students should be able to perform statistical analyses and understand the mathematical basis. They should be able to interpret the results of the analyses and report on what has been done,  the results and the weaknesses and limitations of the analyses.

GENERAL COMPETENCY: The students will be able to apply what they have learned in real-life problems in their study and later in their professional life and perform analyses on their own data. In addition, they should be able to ask critical questions about the mathematical assumptions for the analyses.

Learning activities:
Lectures, exercsises and self study. 
Teaching support:
Lectures, exercises and individual supervision. Canvas.
Syllabus:
Will be given at semester start.
Prerequisites:
Basic statstics equivalent to STAT100. Basic Calculus and linear algebra. 
Recommended prerequisites:
Mandatory activity:
One assignment, must be approved before the final exam.
Assessment:
Written, final exam, counts 100 %.
Nominal workload:

A total of 300 hours:

  • 52 hrs lectures
  • 26 hrs exercises
  • 222 hrs self-study
Entrance requirements:
Special Requirements in Science. 
Reduction of credits:
STAT250: 2 credits.  STAT300: 2 credits.  STAT310: 2 credits.
Type of course:
Lectures: 4 hours per week. Exercises: 2 hours per week. 
Examiner:
An external examiner grades a minimum of 25 selected exam papers. 
Allowed examination aids: C2 Alle typer kalkulatorer, alle andre skriftlige hjelpemidler.
Examination details: One written exam: A - E / F