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 extensively treat the basic principles behind statistical modelling so that attendees really understand what the results of statistical tests mean.
Please find more information in the attached document below.
Course leaders: Dr. Maarten Kroesen and Dr. Eric Molin
Dates: 4, 11 & 18 October 2022
Time: 10.00 – 16.00 h.
Location: TU Delft
Room: t.b.d.
ECTS: 1 (attendance only) – 3 (attendance + passing assignment)
Registration: please CLICK HERE
Participation: free for TRAIL/Beta/OML/ERIM members (first choice) and PhD students of participating TRAIL faculties. Others please contact the TRAIL Office info@rstrail.nl.