Basic Statistic (5 cr)

realization.id

23680

realization.code

YH00BP01-3003

realization.startDate

15.09.2121

realization.endDate

31.12.2121

realization.enrollmentStart

19.05.2121

realization.enrollmentEnd

22.09.2121

realization.currentStatus

PUBLISHED

Teaching language

fi

realization.name

Basic Statistic

Content

Data description with numbers, percentages, descriptives and graphs
· Normal Distribution
· Examining the connection between variables with cross-tabs, grouped descriptives, correlation coefficients and scatter plots.
· Parametric and non-parametric tests and their limitations
· IBM SPSS Statistics and MS Excel are used as software
· Interpretation of the results obtained from the software

Objective

The participants learn how to analyze different types of data with different statistical tools. They learn how to identify suitable statistical techniques for their purposes and data

Evaluation methods and criteria

0 - 5:
Data analysis for own data (online)
Written report and PowerPoint presentation of the results
Presentations á 5 minutes + questions & comments
Multiple choice –test (at the end of the meeting)

Other assignments are evaluated with scale Approved/Failed (all the assignments must be approved for the course evaluation)

Exam schedules

Monivalintatesti 1.12. työpajatunnin lopuksi

Completion alternatives

-

Evaluation scale

H-5

Student workload

The course contains four half-day group meetings and independent tasks online between the meetings.
- The online platform of the course is opened in Itslearning 15.9. Possibility to start the pre-assignments for the 1st group meeting.
- Start up for the course 22.9. klo 9-10
- Online tasks related to the 1st face-to-face group meeting
• Participants own research topic and goals for the course (discussion in Itslearning)
• Survey about the participants own know-how about statistical methods
• Pre-assignment: Making a good questionnaire
- 1st group meeting on 29.9. klo 8:30-12
• Feedback about the pre-assignments
• Preparation of the questionnaire – different kind of CASE examples
• Creating the questionnaire in Webropol
- Online tasks related to the 2nd face-to-face group meeting
• Different scales of data and different analysis methods (task in Itslearning)
• Development of an analysis plan for given common data (group discussion in Itslearning)
• Written analysis plan for given case data
- 2nd group meeting on 20.10. klo 8:30-12
• Feedback on of sample analysis plans
• Getting to know different analysis method
• Data transportation between the programmes: Webropol -> Excel -> SPSS
• Variable definitions in SPSS
• Descriptive methods in SPSS and Excel
- Online tasks related to the 3rd face-to-face group meeting
• Survey on normal distribution and statistical tests.
• Interpretation of results – exercise
• The tasks involve a lot of independent studying of the source material
- 3rd group meeting on 10.11. klo 8:30-12
• Implementing the data analysis with IBM SPSS Statistics and MS Excel
• Descriptive analysis (if unfinished last time)
• Exploring the connection between variables with different methods
• Creating sum variables
• Parametric and non-parametric tests
• Interpretation of the results obtained from the software
- Data analysis for own data (online)
- Written report and PowerPoint presentation of the results
- 4th group meeting on 1.12. klo 8:30-12
• Presentations á 5-10 minutes + questions & comments
• Multiple choice –test (at the end of the meeting)
All the tasks include studies of related theory and examples. This way they prepare to the multiple choice –test at the same time. (Time is included in the time given for the tasks.)

Teaching methods

Remote meetings and assignments performed by oneself and the study group.

Materials

Materials in English
• Data Management Guidelines https://www.fsd.tuni.fi/en/services/data-management-guidelines/
• https://www.khanacademy.org/math/statistics-probability

International connections

Learning-by-doing, flipped learning
The learning outcomes are mainly obtained through the participants self performance.
Skills learned in this course are the basic skills needed in research and development work.

Content scheduling

Course Content
The participants learn how to analyze different types of data with different statistical tools. They learn how to identify suitable statistical techniques for their purposes and data.
• Data description with numbers, percentages, descriptives and graphs
• Normal Distribution
• Examining the connection between variables with cross-tabs, grouped descriptives, correlation coefficients and scatter plots.
• Parametric and non-parametric tests and their limitations
• Data analysis tools in IBM SPSS Statistics and MS Excel sotwares
• Interpretation of the results obtained from the software

realization.isTypeOther

boolean

realization.isTypeOpen

boolean

realization.composite

boolean

realization.maxSeats

30

Number of ECTS credits allocated

5

Virtual portion

5

RDI portion

5

realization.minCredits

5

realization.maxCredits

5

courseUnit.toTranslate

boolean

courseUnit.languageValidated

boolean

courseUnit.toContentValidation

boolean

courseUnit.contentValidated

boolean

courseUnit.learningUnitId

12531

courseUnit.type

COURSE_UNIT

courseUnit.state

ACTIVE

courseUnit.levelId

12531

courseUnit.learningUnitGroupCode

12531

courseUnit.educationPay

boolean

courseUnit.minOptionalityCredits

5

courseUnit.maxOptionalityCredits

5

courseUnit.modifiedBy

21620

courseUnit.organization

peppi

courseUnit.thesisBelongs

boolean