Course
Probability and Statistics 1 (STA100)
Dette er emnebeskrivelsen for studieåret 2012-2013. Merk at det kan komme endringer.
Semesters
Fakta
Emnekode
STA100
Vekting (stp)
10
Semester undervisningsstart
Spring
Undervisningsspråk
Norwegian
Antall semestre
1
Vurderingssemester
Spring
Timeplan
Content
The course gives an introduction to descriptive statistics and basic probability theory for discrete and continuous probability models. Introductory theory for estimation and for statistical hypothesis testing in the most common situations is presented. Emphasis is made on both theoretical understanding and applications.
Learning outcome
After having completed the course one should:
- Be able to use basic methods for analysis and presentation of data.
- Be able to do basic probability calculations
- Know what a random variable, probability distribution, expectation and variance is
- Be able to calculate expectation, variance and probabilities for random variables and simple functions of random variables
- Be able to use basic probability distributions like binomial, poission, hypergeometric and normal
- Know of the central limit theorem
- Know how to estimate and calculate confidence intervals for some important parameters in probability distributions
- Have a basic understanding of hypothesis testing and be able to perform hypothesis testing in some simple situations
Forkunnskapskrav
Mathematical methods 1 (ÅMA100)
Exam
Vilkår for å gå opp til eksamen/vurdering
Students may take the final exam when all rapports are approved.
Fagperson(er)
Head of Department:
Bjørn Henrik AuestadCourse coordinator:
Jan Terje KvaløyMethod of work
Six hours lectures and two hours problem solving per week. (The course is lectured in common with ÅMA110 during the weeks 2 to 10.) Mandatory work demands (such as hand in assignments, lab- assignments, projects, etc) must be approved by subject teacher three weeks ahead of examination date.
Åpent for
Mathematics and Physics - Bachelor's Degree Programme. Mathematics - One Year Foundation Programme at the Faculty of Science and Technology. Bachelor studies at the Faculty of Science and Technology. Master studies at the Faculty of Science and Technology.
Emneevaluering
Form and/or discussion
Litteratur
Gunnar Løvås: Statistikk for universiteter og høgskoler. 2. utgave.
Kp.: 1 - 10.
The course description is retrieved from FS (Felles studentsystem). Version 1