MSE2112  Multivariate Statistical Analysis D, 11.01.202115.04.2021
This course space end date is set to 15.04.2021 Search Courses: MSE2112
Topic outline

Exercises
Participate to weekly zoom exercises (group 1, group 2, group 3 OR group 4)  not compulsory, but highly recommended  max 3 points. If you attend 35 times, you get 1 point. If you attend 68 times, you get 2 points. If you attend at least 9 times (out of 11 times), you get 3 points.
In order to earn the exercise points, you have to arrive on time to the zoom exercise session and write your name to chat as described below. You can not get any exercise points without attending the exercises.
Exercise session 11 is reserved for the project work and for summarizing the contents of the course.
Attending all the exercise sessions, including the last one, is highly recommended.
Homework
Solve the homework problems and be ready to present your solutions in the zoom exercise group  not compulsory, but highly recommended  max 3 points. Note that your solution does not have to be perfect or even correct  trying your very best is enough!
If you do your homework assignments 35 times, you get 1 point. If you do your homework assignments 68 times, you get 2 points. If you do your homework assignments at least 9 times (out of 10 times), you get 3 points.
In order to earn the homework points, you have to arrive on time to the zoom exercise session and type your name + attendance and homework to chat as described above. You can not get any homework points without attending the zoom exercises.
Project Work
Submit your project work on time  THIS IS COMPULSORY  max 6 points
Find a multivariate (at least 3variate) dataset (tilastokeskus, OECD, collect yourself, ...), set a research question, and perform multivariate analysis. Write a report (max 10 pages), and submit it below before Monday 12.4.2020 at 12.00!
Goals of the project work:
Description of the research questions
Description of the dataset
Univariate and bivariate statistical analysis to present the variables
Application of your chosen multivariate statistical methods to answer research questions (justification and output)
Conclusions and answers to the question raised at the beginning
Critical evaluation of the analysis
Remember that no findings is a finding!
Note that you will automatically get 0 points from the exam if you will not submit your project work on time!
About grading of the project work:
Maximum points are 6 and the 6 points are divided as follows.
Intro (description of the research question and of the data source or data collection)  max 0.5 p.
Univariate analysis (description of the variables, summary statistics, visualization)  max 1p.
Bivariate analysis (analysis of bivariate dependencies, visualization)  max 1 p.
Multivariate analysis  max 3 p. This is divided to selection of the method  max 1 p.; technical implementation  max 1 p.; and presenting the results/interpretation  max 1 p.
Critical evaluations (report about possible sources of biases etc.)  max 0.5 p.
If the report is not polished (blurry images, text in the marginal etc), that may lead to 1p.