StatisticsLaajuus (3 cr)
Code: TE00CS09
Credits
3 op
Objective
The target of the study course is to familiarize student to use of statistical methods. When course is completed, student can produce statistical data required in his/her work, and analyze it.
Content
- sampling methods and size of the sample
- presentation and interpretation of graphs
- measuring methods and scales
- standard deviation, standard error etc.
- correlation and regression
Enrollment
10.10.2024 - 03.02.2025
Timing
03.02.2025 - 29.03.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Teaching languages
- Finnish
Seats
30 - 45
Degree programmes
- Degree Programme in Industrial Management Engineering
Teachers
- Virpi Raivonen
- COS Opettaja
Groups
-
MTUTAMK23Degree Programme in Industrial Management Engineering, Sales
Objective
The target of the study course is to familiarize student to use of statistical methods. When course is completed, student can produce statistical data required in his/her work, and analyze it.
Content
- sampling methods and size of the sample
- presentation and interpretation of graphs
- measuring methods and scales
- standard deviation, standard error etc.
- correlation and regression
Evaluation scale
H-5
Enrollment
10.10.2024 - 26.01.2025
Timing
13.01.2025 - 31.05.2025
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Seats
0 - 140
Degree programmes
- Degree Programme in Industrial Management Engineering
Teachers
- Virpi Raivonen
- COS Opettaja
Groups
-
PTUTAMS22PTUTAMS22
-
PTUTAS22PRODProduct and production management
-
PTUTAS22LOGProcurement and logistics
Objective
The target of the study course is to familiarize student to use of statistical methods. When course is completed, student can produce statistical data required in his/her work, and analyze it.
Content
- sampling methods and size of the sample
- presentation and interpretation of graphs
- measuring methods and scales
- standard deviation, standard error etc.
- correlation and regression
Evaluation scale
H-5