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.
Information from the course leader
Welcome to course MS0070: Statistics A - Basic statistics
With admittence you will get access to the course's Canvas page. All relevant information can be found there. Please read carefully the course information file you find there and observe that this course requires self-registration. The self registration period is 2023-01-09 - 2023-01-19.
Claudia
Course evaluation
The course evaluation is now closed
MS0070-30118 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for MS0070
Academic year 2021/2022
Statistics A - Basic Statistics (MS0070-10332)
2021-09-30 - 2021-11-01
Academic year 2020/2021
Statistics A - Basic Statistics (MS0070-10297)
2020-09-30 - 2020-11-01
Academic year 2019/2020
Statistics A - Basic Statistics (MS0070-10295)
2019-10-02 - 2019-10-31
Syllabus and other information
Syllabus
MS0070 Statistics A - Basic Statistics, 7.5 Credits
Statistik A - Grundläggande statistikSubjects
Mathematical StatisticsEducation cycle
Bachelor’s levelModules
Title | Credits | Code |
---|---|---|
Part 1 | 5.0 | 0102 |
Part 2 | 2.5 | 0103 |
Advanced study in the main field
First cycle, in-depth level of the course cannot be classifiedBachelor’s level (GXX)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
EnglishPrior knowledge
120 credits in the first cycleEnglish 6/Engelska 6
Objectives
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
Content
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.
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.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 a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
For the assessment of an independent project (degree project), the examiner may also allow a student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
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
Grading criteria
Grading criteria
Objectives
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 constitutes two parts for which the following grading criteria will apply:
Part 1
Passed examination in written form.
- To obtain grade 3, the student must attain 55% of the total number of credits on the examination.
- To obtain grade 4, the student must attain 70% of the total number of credits on the examination.
- To obtain grade 5, the student must attain 85% of the total number of credits on the examination.
Part 2
- Passed project report and passed oral presentation in the mandatory seminar. Discussions of other groups' reports can also be part of the examination. Reports, oral presentations, discussions and attendance at seminars are only graded with Pass (G) or Fail (U).
- Passed hand-in in R, graded Pass (G) or Fail (U)
The final approved grade for the course is as follows:
Part 1 |
Part 2 |
Final grade |
3 |
G |
3 |
4 |
G |
4 |
5 |
G |
5 |
Litterature list
OpenIntro statistics, 4th edition, David Diez, Mine Cetinkaya-Rundel, Christopher D Barr, for free at https://www.openintro.org/book/os/