Statistical Deduction (2cr)
Code: KA00BW51-3012
General information
- Enrollment
- 10.11.2025 - 14.01.2026
- Registration for introductions has not started yet.
- Timing
- 07.01.2026 - 26.04.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 2 cr
- Local portion
- 0 cr
- Virtual portion
- 2 cr
- Mode of delivery
- Distance learning
- Unit
- SeAMK Agriculture
- Campus
- SeAMK Seinäjoki, Frami
- Teaching languages
- Finnish
- Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
- Teachers
- Sari Rimpelä
- Scheduling groups
- Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 20 . Open UAS : 20.)
- Groups
-
MAGRO24Bachelor of Natural Resources
- Small groups
- Open UAS (Doesn't apply to degree student)
- Course
- KA00BW51
Evaluation scale
Passed/failed
Objective
Understanding and competence to interpret ordinary (agricultural) statistical information and to process and present data. Excel and Webropol basic skills
Content
Basic statistical concepts; processing and presentation of quantitative data with Excel; distribution and descriptive statistics and their interpretation; correlation and regression; the role of statistical analyses of data and the concept of statistical significance of difference
Location and time
SCHEDULED ONLINE STUDY
The schedules for the scheduled online teaching can be found in the timetable at https://lukkarikone.seamk.fi/. Timetables are published for the next six weeks. The first six weeks of autumn are published by Midsummer and the first six weeks of spring by Christmas. Timetables may be subject to changes.
Materials
Material announced by the lecturer
Teaching methods
SCHEDULED ONLINE STUDY:
The study is conducted online in the Moodle learning environment.
The study requires participation in scheduled online teaching.
The recordings of the teaching sessions are not available for later viewing in Moodle.
The study also includes independent work online.
The student familiarizes themselves with the theoretical material, exams according to the given instructions.
The study requires independent work and scheduling.
Student workload
The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge.
Assessment criteria, approved/failed
Approved - Approved assignments. The student is able to compile a questionnaire and process the data obtained from it using Excel (or other software). The student is able to calculate the key figures and describe the material graphically as well as the concept of statistical dependence.