Course code VU-STAT100

VU-STAT100 Statistics

There may be changes to the course due to to corona restrictions. See Canvas and StudentWeb for info.

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Showing course contents for the educational year 2017 - 2018 .

Course responsible: Solve Sæbø
ECTS credits: 10
Faculty: Faculty of Chemistry, Biotechnology and Food Science
Teaching language: NO
(NO=norsk, EN=Engelsk)
Limits of class size:
1000
Teaching exam periods:
Autumn parallel
Course frequency: Yearly
First time: 2015H
Last time: 2018V
Course contents:
Descriptive statistics. Basic probability, conditional probability, discrete and continuous variables, expectation and variance. Covariance, correlation, and independence. Estimation, confidence intervals, and hypothesis testing. Z-tests and T-tests. Simple linear regression. One-way analysis of variance. Chi square tests. Application of simple statistical software (R Commander).
Learning outcome:
The students will learn the basic concepts in statistics. They will get familiar with the assumptions and the applications of the most commonly used statistical methods applied in science and everyday life. The students will be able to apply such methods on simple problems in their own studies. Through the exercises (both compulsory and optional) on real data, the students must prove that they have acquired the basic knowledge.
Learning activities:
This is a 100% online course. Students watch laecture videos online, and solve online exercises.
Teaching support:
The course responsible will always be available, either by chat on the course pages or by email.
Syllabus:
Will be announced on the course website before the course starts
Recommended prerequisites:
Mandatory activity:
There will be two online compulsory multiple choice exercises. These must be approved before the exam.
Assessment:
A final 3.5 hours written exam, A-F, potentially containing multiple choice tests. The final exam counts 100 %.
Nominal workload:
300 hours
Entrance requirements:
GSK
Type of course:
Students are in control of this since the course is online
Examiner:
Examination details: :