Statistical DeductionLaajuus (2 cr)
Code: KA00BW51
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
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.
Enrollment
15.04.2024 - 15.01.2025
Timing
07.01.2025 - 27.04.2025
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO22TABachelor of Natural Resources, Agriculture and Rural Enterprises
-
AGRO22PRBachelor of Natural Resources, Agriculture and Rural Enterprises
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
11.11.2024 - 15.01.2025
Timing
07.01.2025 - 27.04.2025
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
MAGRO23Bachelor of Natural Resources
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments, online-teaching
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 12 h
- of which autonomous studies: 40 h
Evaluation scale
Passed/failed
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.
Enrollment
17.04.2023 - 21.02.2024
Timing
04.03.2024 - 28.04.2024
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO21PRAgrologi (AMK)
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
17.04.2023 - 17.01.2024
Timing
08.01.2024 - 28.04.2024
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO21TAAgrologi (AMK)
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
17.04.2023 - 17.01.2024
Timing
08.01.2024 - 28.04.2024
Credits
2 op
Virtual proportion (cr)
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
MAGRO22
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments, online-teaching
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 12 h
- of which autonomous studies: 40 h
Evaluation scale
Passed/failed
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.
Enrollment
14.11.2022 - 22.02.2023
Timing
06.03.2023 - 30.04.2023
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
MAGRO21
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 12 h
- of which autonomous studies: 40 h
Evaluation scale
Passed/failed
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.
Enrollment
16.04.2022 - 22.02.2023
Timing
06.03.2023 - 30.04.2023
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO20PR
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
16.04.2022 - 15.01.2023
Timing
09.01.2023 - 30.04.2023
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO20TA
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
19.04.2021 - 09.01.2022
Timing
17.01.2022 - 29.04.2022
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Responsible person
Jukka Kauppila
Student groups
-
AGRO19A
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.
Enrollment
19.04.2021 - 02.01.2022
Timing
10.01.2022 - 15.04.2022
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Responsible person
Jukka Kauppila
Student groups
-
MAGRO20
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 12 h
- of which autonomous studies: 40 h
Evaluation scale
Passed/failed
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.
Enrollment
19.04.2021 - 03.01.2022
Timing
03.01.2022 - 28.04.2022
Credits
2 op
Teaching languages
- Finnish
Degree programmes
- Bachelor of Natural Resources, Agriculture and Rural Enterprises
Teachers
- Sari Rimpelä
Student groups
-
AGRO19B
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
Materials
Material announced by the lecturer
Teaching methods
Lectures and assignments
Student workload
Total work load of the course: 52 h
- of which scheduled studies: 21 h
- of which autonomous studies: 31 h
Evaluation scale
Passed/failed
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.