Objectives
After this course attendees are able to:

1. Explain the basic principles behind statistical modelling (Central Limit Theorem).
2. Choose appropriate bivariate data-analysis techniques* (given a particular research question), correctly apply these techniques (by formulating statistical hypotheses, checking the statistical assumptions and deriving the test statistic) and interpret their results in meaningful ways.
3. Estimate a multivariate regression model, check its assumptions (normality, linearity, homoscedasticity) and interpret its outcomes.

* 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.

TRAIL Course Data Analysis and Statistics_Fall 2022