*module 01: basic parametric statistics(Fully booked, waiting list is open)

*module 01: basic parametric statistics(Fully booked, waiting list is open)

  • module 1 : Basic parametric statistics
    09/09/2019 - 13/09/2019
    9:30 am - 12:45 pm
    -
    Mon 9/09: 9.30 am - 12.45 pm | S9 pc room 3.1+ S8 pc room 0.1
    Tue 10/09: 9.30 am - 12.45 pm | S9 pc room 1.1 + 3.1
    Wed 11/09: 9.30 am - 12.45 pm | S9 pc room 1.1 + 3.1
    Thu 12/09: 9.30 am - 12.45 pm | S9 pc room 1.1 + 3.1
    Fri 13/09: 9.30 am - 11.00 am | S9 pc room 3.1

Course details

week 1


Abstract

The module revisits the foundations for statistical data analysis. Starting from a broad overview of descriptive analysis, we will go over one-sample and two-sample ttests to comparing more than two groups. Emphasis is on the practical implementation of the theory in the software of your choice (R or SPSS). Real-life datasets from several disciplines are used to illustrate the methods. Participants will have a better understanding of:

  • The numerical and graphical methods to explore, summarize and describe data
  • The use and conditions for applying a one-sample, a two-sample or a paired t-test
  • The use and conditions for applying a global F-test when comparing means of different groups
  • Comparing 2 groups in an ANOVA context
  • Parametric versus non-parametric tests for location: when to use what?
At the end of this module, the participant can perform the above described analysis using computer software (R or SPSS, to be chosen by the student).


Course structure

The module is taught in 3 clustered sessions of 3 x 1.5 hours. Each cluster consists of a session where the problem is situated and the general background is provided, illustrated with real-life datasets from different disciplines. The second session of the cluster is a software session, where examples of the analyses seen in session 1 are shown in the chosen software (R or SPSS, to be chosen by the participant). The last two sessions of each cluster are hands-on sessions, where participants are given a real-life dataset and they have to perform the analyses themselves. Participants that choose R as software are expected to bring their own laptop to the practical sessions, with R (or Rstudio) installed.


Prerequisites

Limited knowledge of basic statistics (meaning: you have had a course in statistics before for example in your bachelor or master), but you do not know all details anymore. Basic knowledge of the software package of your choice (R or SPSS): importing data and basic data manipulation. Especially for the package R a basic knowledge is necessary!


Instructor

Dr. Ruth Nysen is a post-doctoral researcher at the Center for Statistics (Hasselt University). She obtained a Master degree in Mathematics (KULeuven, 2009), a teaching diploma (CVO LIMLO, 2013) and a PhD in Statistics at Hasselt University (2016). Her research focused on parametric and semi-parametric modeling strategies for censored data. Currently she is involved in several mathematical and statistical courses, mainly in the bachelor programs in the faculty of medicine and Life Sciences. She is the FLAMES coordinator of Hasselt University.



Venue:  

Venue Phone: +32 9 264 48 84

Venue Website:

Address:
Krijgslaan 281, Gent, 9000, Belgium

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