Print Syllabus

Syllabus

PFS0157 Statistics I: Basic Statistics, 4.0 Credits

Subjects

Mathematical Statistics

Education cycle

Postgraduate level

Grading scale

Language

English

Prior knowledge

None

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.

Additional information

Implementation

Scheduled activities:

Lectures: 16 h

Computer exercises 4 h

Examination and course evaluation 10 h

Self studies 80 h

Totally 110 h

Responsible department

Department of Forest Resource Management