Objectives
After this course attendees are able to:
* The following data-analysis techniques will be treated: descriptive data analysis (mean, median, variance, standard deviation), univariate (one sample t-test, proportion test) and bivariate parametric tests (paired/independent samples t-test, ANOVA, Pearson correlation) and a non-parametric test (chi-square).
Course description
In this course attendees will actively work on solving concrete statistical problems in the domains of transport, infrastructure and logistics using various bivariate and multivariate data-analysis techniques. The course will treat the basic principles behind statistical modelling so that attendees really understand what the results of statistical tests mean.
Assignment
Attendees have to apply several data-analysis techniques to their own data (or a given dataset) and report the results in a brief research report.
Program
Day 1 – Basic principles behind statistical modelling, descriptive statistics and bivariate data-analysis techniques (Maarten Kroesen)
Day 2 – Multiple regression (Eric Molin)
Course material
Slides and online materials
Methodology
The working method consists of oral lectures combined with (short) in-class assignments using SPSS. To this end, students should bring a laptop with SPSS installed on it.
Prerequisite
None
Course leaders: Dr. Maarten Kroesen and Dr. Eric Molin
Dates: 24 & 31 October 2024
Time: 10.00 – 16.00h
Location: TU Delft – room t.b.a.
ECTS: 1 (class only) | 3 (class + passing assignment)
Participation: free for TRAIL/Beta/OML/ERIM members and PhD students of participating TRAIL faculties. Others please contact the TRAIL Office info@rstrail.nl.
Registration: please click here.