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.

Formats and requirements for examination

Requirements for examination:

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

• 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• If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.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 examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.

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