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Statistics A - Basic Statistics

Denna kurs vänder sig till dig som vill få en introduktion till några vanliga statistiska metoder. Utöver den teoretiska bakgrunden får du genomföra statistiska analyser med modern programvara och arbeta med analys av data i ett eget projekt.
Kunskaper inom statistisk inferens – att dra slutsatser från insamlade data med hjälp av matematiska metoder – är viktigt inom i stort sett alla områden i dagens samhälle. I kursen presenteras en del allmänna begrepp inom statistisk teori och modellering, liksom några specifika metoder, såsom t-test, proportionstest och chitvåtest.
Vid praktiskt arbete med data är det viktigt att kunna välja en lämplig metod för ett givet problem, och att kunna utvärdera resultatet från en metod och dra rimliga slutsatser. I kursen arbetar du med frågeställningar kring data i datorövningar och tillämpar dina kunskaper i ett undersökningsprojekt som även inkluderar enkätkonstruktion.
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MS0070-10297 - Course evaluation report

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Additional course evaluations for MS0070

Academic year 2019/2020

Statistics A - Basic Statistics (MS0070-10295) 2019-10-02 - 2019-10-31

MS0070 Statistics A - Basic Statistics, 7.5 Credits

Statistik A - Grundläggande statistik

Syllabus approved



Mathematical Statistics

Education cycle

First cycle


Title Credits Code
Part 1 5.00 1002
Part 2 2.50 1003

Advanced study in the main field

First cycle, course specialisation cannot be classified(GXX)

Grading scale

5:Pass with Distinction, 4:Pass with Credit, 3:Pass, U:Fail The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.



Prior knowledge

120 credits in the first cycle
English 6/Engelska 6


The objective of the course is to give an introduction to basic probability theory and statistical inference. On completion of the course, the student will be able to:
• apply basic probability concepts and statistical principles and formulate a problem in statistical terms
• describe common statistical methods including conditions and assumptions
• select an appropriate statistical method for a given problem
• carry out a basic statistical analysis in the statistical software R
• interpret and evaluate results correctly and draw reasonable conclusions
• clearly and concisely communicate results and conclusions


The course is built on lectures and computer exercises, as well as a project work. The main components are as follows:
Part 1 (5 hp)
• Descriptive statistics.
• Basic probability theory.
• Probability distributions.
• Statistical inference of means and proportions, one and two samples.
• Nonparametric methods.
• Analysis of frequency data.

Part 2 (2.5 hp)
Project work either alone or in a group.

Formats and requirements for examination

Part 1
- Passed examination in written form. Grade U, 3, 4, or 5 are given.

Part 2
- Passed project report and passed oral presentation at mandatory seminar. Discussions of other groups’ reports can also be part of the examination. Reports, oral presentations, discussions and presence at seminars are only graded with Pass (G) or Fail (U).
  • If the student fails a test, the examiner may give the student a supplementary assignment, provided this is possible and there is reason to do so.
  • If the student has been granted special educational support because of a disability, the examiner has the right to offer the student an adapted test, or provide an alternative assessment.
  • If changes are made to this course syllabus, or if the course is closed, SLU shall decide on transitional rules for examination of students admitted under this syllabus but who have not yet passed the course.
  • For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline. For more information on this, please refer to the regulations for education at Bachelor's and Master's level.

Other information

  • The right to take part in teaching and/or supervision only applies to the course date to which the student has been admitted and registered on.
  • If there are special reasons, the student may take part in course components that require compulsory attendance at a later date. For more information on this, please refer to the regulations for education at Bachelor's and Master's level.

Additional information

This course overlaps with the following courses given at SLU:
MS0065 Grundläggande matematisk statistik, 5.0 hp
ST0058 Statistik för ekonomer, 15 hp
ST0059 Grundläggande matematik och statistik för biologer, 7.5 hp
VM0058 Populationsmedicin, 15 hp (momentet Statistik, 3.5 hp)
TU0002 Populationsmedicin, 15 hp (momentet Statistik 3.5 hp)
HV0110 Naturvetenskaplig grundkurs – evolution och ekologi, 15 hp (momentet Matematik och statistik 5 hp)
HV0123 Naturvetenskaplig grundkurs – Husdjursagronom, 15 hp (momentet Matematik och statistik 5 hp)
HV0113 Naturvetenskaplig grundkurs – sport och sällskapsdjur, 15 hp (momentet Matematik och statistik 5 hp)
HV0109 Etologi och djurskydd, 15 hp (momentet Statistik 3 hp)
BI1259 Ekologi och statistik, 15 hp (momentet Statistik 5 hp)
BI1260 Ekologi och statistik för trädgårdsingenjörer, 15 hp (momentet Statistik 5 hp)
KE0066 Kemi, ekologi och statistik, 15 hp (momentet Statistik 2.5 hp)
SG0204 Statistik och skogsinventering, 15 hp
ST0057 Grundläggande statistik för ekonomer, 5 hp
MS0052 Grundläggande statistik för biologer, 5 hp
MS0042 Biologisk statistik, 5 hp
MS0035 Grundläggande statistik och matematik, 10 hp

Responsible department

Department of Energy and Technology

Further information

Determined by: Programnämnden för utbildning inom naturresurser och jordbruk (PN - NJ)
There are no Grading criteria posted for this course
1) Experimental Design and Data analysis for biologists
Author: Gerry P. Quinn, Michael J. Keough
ISBN: 978-0-521-00976-8

Course facts

The course is offered as an independent course: Yes Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 19027 SEK Cycle: First cycle
Subject: Mathematical Statistics
Course code: MS0070 Application code: SLU-10297 Location: Uppsala Distance course: No Language: English Responsible department: Department of Energy and Technology Pace: 100%