Introduction to Statistics (3 cr)
Code: IB00DL00-3002
General information
Enrollment
22.04.2024 - 04.09.2024
Timing
09.09.2024 - 17.11.2024
Credits
3 op
Virtual proportion (cr)
1 op
Teaching languages
- English
Degree programmes
- Bachelor of Business Administration, International Business
Teachers
- Miia Koski
Student groups
-
IB23BBachelor of Business Administration, International Business
Objective
Students can define and interpret the basic concepts of statistics. They know how to collect quantitative data and use existing statistics. They can process and analyze statistical data and present data using parameters and charts. Students can analyze and interpret the statistics they acquire.
Content
- Basic concepts
- Collecting information, sampling methods
- Scales of measurement
- Frequency distributions, graphic presentation
- Measures of centrality
- Measures of spread.
- Correlation and regression
- Reliability of results
- Basics of Webropol
- Basics of SPSS
Materials
Materials indicated by the teacher.
Teaching methods
- Lessons
- Exercises
- Independent online studying
- Online exam
Student workload
3 credits equals to 81 hours of student work:
- Lessons 11h
- Exercises 40h
- Independent online studying 10h
- Online exams and studying for them 20h
Further information
Programs used during the course:
- Excel
- Webropol
- SPSS
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
The student has carried out the work required and participated as instructed. The student can process and analyze statistical data using basic parameters and chart at a satisfactory level. The student can analyze and interpret the basic statistics they acquire at a satisfactory level. The student can use existing statistics.
Assessment criteria, good (3)
The student has carried out work well and participated actively. The student understands the basic concepts of statistics. The student can process and analyze statistical data using parameters and charts at a good level. Students can analyze and interpret the statistics they acquire at a good level. The student can use the basic analysis of Webropol and the SPSS program. The student can use and analyze existing statistics.
Assessment criteria, excellent (5)
The student has carried out work to an excellent standard and participated actively and constructively. The student has a good understanding of the basic concepts of statistics. The student can process and analyze statistical data using parameters and charts at an excellent level. The student can analyze and interpret the statistics they acquire to an excellent level. The student can use Webropol and the SPSS program. The student can critically and analytically use and analyze existing statistics.
Assessment methods and criteria
Assessment of the course:
- Statistical exercises done during the course - Moodle exam. Grading 0-5 (50% of course grade).
- Course content - Moodle exam. Grading 0-5 (50% of course grade).
Assessment criteria, good (3)
The student has carried out the work required and participated as instructed. The student can process and analyze statistical data using basic parameters and chart at a satisfactory level. The student can analyze and interpret the basic statistics they acquire at a satisfactory level. The student can use existing statistics.
Assessment criteria, excellent (5)
The student has carried out work well and participated actively. The student understands the basic concepts of statistics. The student can process and analyze statistical data using parameters and charts at a good level. Students can analyze and interpret the statistics they acquire at a good level. The student can use the basic analysis of Webropol and the SPSS program. The student can use and analyze existing statistics.
Assessment criteria, approved/failed
The student has carried out work to an excellent standard and participated actively and constructively. The student has a good understanding of the basic concepts of statistics. The student can process and analyze statistical data using parameters and charts at an excellent level. The student can analyze and interpret the statistics they acquire to an excellent level. The student can use Webropol and the SPSS program. The student can critically and analytically use and analyze existing statistics.
Qualifications
No previous studies are required.