StatisticsLaajuus (3 cr)
Code: 6000BH99
Credits
3 op
Objective
The target of the study course is to familiarize student to use of statistical methods and their computer applications. 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.
- normal distribution
- correlation and regression
Enrollment
01.06.2023 - 15.09.2023
Timing
01.09.2023 - 15.12.2023
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- Finnish
Seats
90 - 130
Degree programmes
- Degree Programme in Energy and Environmental Technology
Teachers
- Hannele Kuusisto
Groups
-
PEYTES22APEYTES22A
-
PEYTES22
-
PEYTES22BPEYTES22B
Objective
The target of the study course is to familiarize student to use of statistical methods and their computer applications. 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.
- normal distribution
- correlation and regression
Evaluation scale
H-5
Enrollment
01.06.2022 - 12.09.2022
Timing
24.08.2022 - 16.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Engineering and Business
Teaching languages
- Finnish
Seats
0 - 100
Degree programmes
- Degree Programme in Energy and Environmental Technology
Teachers
- Hannele Kuusisto
Scheduling groups
- Vain avoimen AMK:n opiskelijoille (Size: 5. Open UAS: 5.)
Groups
-
PEYTES21BPEYTES21B
-
PEYTES21APEYTES21A
Small groups
- For Open UAS students only
Objective
The target of the study course is to familiarize student to use of statistical methods and their computer applications. 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.
- normal distribution
- correlation and regression
Evaluation scale
H-5