Study Guide

Objective

The Student
- understands the benefits, relevance and reasons for using statistics in environmental sciences as a problem solving tool
- understands and knows the usefulness of probability in decision making
- knows how to present descriptive statistical data
- understands and can perform basic statistical tests
- knows how to interpret basic statistical tests
- knows how to plan studies in a statistically proper and sound way avoiding common pitfalls

Content

The student is introduced to the benefits, relevance and reasons for using statistics in environmental sciences as a problem solving tool. Learns the usefulness of probability in decision making and knows how to present descriptive statistical data. The student will learn how to plan studies and to conduct basic statistical tests, how to interpret results and and how to avoid common pitfalls.

Location and time

Period 2 2023, Campus Raseborg.

Materials

On moodle.

Teaching methods

Lectures, demonstrations, computer practicals, course exam

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

The assignments were completed and the student obtained a basic understanding of the course content

Assessment criteria, good (3)

The assignments were completed without major remarks and the student obtained a good understanding of the course content

Assessment criteria, excellent (5)

Assignments were completed without remarks and the the student obtained an excellent understanding of the course content

Assessment methods and criteria

Quality of the completed exam.

Assessment criteria, fail (0)

If failed to complete all assignments or if earned < 50% of the maximum number of credits possible to earn in the assignments

Assessment criteria, satisfactory (1-2)

50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively

Assessment criteria, good (3-4)

70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments

Assessment criteria, excellent (5)

90-100% (=5) of the maximum number of credits earned in the assignments

Qualifications

No previous knowledge requirements