Research Methodology and Statistics
| Structure Type: | Study unit |
|---|---|
| Code: | TIP0607 |
| Type: | Compulsory |
| Curriculum: | IB 2017 |
| Level: | Bachelor of Business Administration |
| Year of Study: | 2 (2018-2019) |
| Credits: | 3 cr |
| Responsible Teacher: | Ranta, Mikko |
| Language of Instruction: | English |
Courses During the Academic Year 2018-2019
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Classes | Enrolment |
|---|---|---|---|---|---|---|
| 5 | T-IB-3-1 | 2019-01-07 – 2019-05-26 | Kerstin Siegfrids | English | 2018-12-10 – 2019-01-14 | |
| 6 | T-IB-3-2 | 2019-01-07 – 2019-05-26 | Kerstin Siegfrids | English | 2018-12-10 – 2019-01-14 | |
| T-IB-2-1 | P3 – P4 | Kerstin Siegfrids | English | 33 h | ||
| T-IB-2-2 | P3 – P4 | Kerstin Siegfrids | English | 33 h |
Learning Outcomes
The student is able to find statistical data and interpret statistical figures. The student is able to analyze statistical data with different statistics. The student knows the basics of correlation and regression analysis. The student can critically analyze the results acquired from the research. The student is able to use Excel software for statistical analysis.
Student's Workload
Total work load of the course: 81 h
- of which scheduled studies: 40 h
- of which autonomous studies: 41 h
The assesment of student's own learning 1 h is included in contact lessons.
Prerequisites / Recommended Optional Courses
No prequisities.
Contents
Basic terms, statistical charts, parameter estimation, linear regression, dependence analysis, correlation. Excel in statistical research.
Recommended or Required Reading and Other Learning Resources/Tools
Lecture notes
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures and exercises, final exam
Assessment Criteria
1 = The student has a basic understanding of theory and is able to solve basic exercises.
3 = The student understands the theory of statistics and is able to solve more difficult exercises by using the theory.
5= The student is able to apply the theory of statistics and develope own models for solving exercises.
Assessment Methods
Final exam (70%) and exercises (30%). Numerical 1-5.