Statistical methods (5 cr)
Code: WM00EJ71-3002
General information
- Enrollment
-
08.04.2024 - 21.04.2024
Registration for the implementation has ended.
- Timing
-
02.09.2024 - 31.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Department of Business
- Campus
- Ecampus
- Teaching languages
- English
- Seats
- 20 - 60
- Degree programmes
- Degree Programme in Wellbeing Management
- Teachers
- Vesa Partanen
- Teacher in charge
- Vesa Partanen
- Groups
-
WMMI22SPWellbeing Management, full-time studies
- Course
- WM00EJ71
Realization has 3 reservations. Total duration of reservations is 3 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 03.09.2024 time 10:00 - 11:00 (1 h 0 min) |
Statistical methods WM00EJ71-3002 |
remote teaching (scheduled)
|
|
Tue 01.10.2024 time 10:00 - 11:00 (1 h 0 min) |
Statistical methods WM00EJ71-3002 |
remote teaching (scheduled)
|
|
Tue 29.10.2024 time 10:00 - 11:00 (1 h 0 min) |
Statistical methods WM00EJ71-3002 |
remote teaching (scheduled)
|
Objective
You have the basic knowledge of introductory-level statistics.
You are able to apply statistical analysis skills especially in decision-making and when describing different phenomena in business.
You are able to collect and analyze quantitative data in the context of your own R&D projects.
You are able to use statistical software tools in order to perform a statistical analysis.
Content
What are the basic concepts of statistics?
How is statistical data collected?
How to analyse and describe data by using a statistical software package?
How to define and calculate statistical measures?
What are statistical relationships between variables, and how to analyse and describe them?
What are the basics of statistical decision theory?
How is the statistical significance of results assessed by using tests and statistical decisions?
Course material
Bachelor’s thesis 15 ECTS credits
Evaluation scale
1-5