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MS-E2112 - Multivariate statistical analysis, 07.01.2020-09.04.2020

This course space end date is set to 09.04.2020 Search Courses: MS-E2112

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  • Assignments

    Assignments

    * * * * * All spring 2020 exams are cancelled, therefore the only way to complete the course is to return the home exam * * * * *

    Exercises

    Participate to weekly exercises (group 1, group 2, group 3 OR group 4) - not compulsory, but highly recommended - max 3 points. If you attend 3-5 times, you get 1 point. If you attend 6-8 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 exercise session. 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 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  3-5 times, you get 1 point. If you do your homework assignments 6-8 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 exercise session. You can not get any homework points without attending the exercises.

    Project Work

    Submit your project work on time - THIS IS COMPULSORY - max 6 points

    Find a multivariate (at least 3-variate) dataset (tilastokeskus, OECD, collect yourself, ...), set a research question, and perform multivariate analysis. Write a report (max 10 pages), print it and submit it to Paavo (Y249d), or Pauliina (Y238) on Monday 6.4.2020 at 12.00 the latest!

    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!


    • icon for activity FileCourse grades, 2020 remote exam + course points File

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