PFS0157, Statistics I: Basic Statistics, 4.0 Hp
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Syllabus

Level

Third cycle

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

English

Entry Requirements

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: • use basic probability concepts and statistical principles • formulate a problem in statistical terms • describe common statistical methods including conditions and assumptions • apply basic statistical methods in scientific research • select an appropriate statistical method for a given problem • carry out a basic statistical analysis • interpret and evaluate results correctly and draw reasonable conclusions • clearly and concisely communicate results and conclusions • use statistical software for analysis

Content

The course is built on lectures and computer exercises. The main moments are as follows: • Descriptive statistics. • Basic probability theory. • Probability distributions.
• Statistical inference of means and proportions, one and two samples. • Nonparametric and resampling methods. • Analysis of frequency data. • Sample size determination.

Examination Formats and Requirements for Passing the Course

Requirements for examination: Passed exercises and passed examination in written and/or oral form.

Responsible Department/Equivalent

Department of Forest Resource Management

Supplementary information

Other Information

Implementation Scheduled activities: Lectures: 16 h Computer exercises 4 h Examination and course evaluation 10 h Self studies 80 h Totally 110 h