ST0061, Basic Statistics for Biologists, 7.5 Hp
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Syllabus

Finalized by: PN-VH, 2023-05-26
Valid from : Autumn semester 2023 (2023-08-28)

Level

First cycle (G1N)

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.

Course language

Swedish

Entry Requirements

Objectives

The purpose of the course is to provide foundations in statistics with applications in the life sciences.

Upon completion of the course, the student should be able to:

• Use relevant mathematical methods for solving biological and mathematical problems,
• give an account of central statistical notions and the usefulness of statistics for description and interpretation of biological data,
• use relevant selected methods and statistical software packages for processing, analysis and illustration of biological data,
• calculate confidence intervals and to perform hypothesis testing,
• analyse data by regression analysis.

Content

Lectures deal with theory. Lessons and computer exercises deal with practical exercises.

The course includes:

• Basic algebra, functions, logarithms,
• Descriptive statistics, including visualization of data, probability theory, common distributions, point estimation, confidence intervals,
• Hypothesis testing: inference of means and proportions; chi-square test and power,
• Simple linear regression.

The course is based on practical examples from various biological fields of application.

Compulsary parts occur within the statistics project.

Examination Formats and Requirements for Passing the Course

-Passed exercises and pass the written and / or oral examination and approved participation in compulsory parts -Passed computer exercises

Responsible Department/Equivalent

Department of Energy and Technology

Supplementary information

Included in program

• Animal Science and Sustainability (BSc)
• Ethology and Animal Welfare (BSc)

Module set

Title	Credits	Code
Statistics	5.0	0001
Mathematics	1.5	0002
Statistics Project	1.0	0003