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.

More details on the course program in the attached document below.

Course leaders: Dr. Maarten Kroesen and Dr. Eric Molin

Dates: 11, 18 & 23 March 2021

Time: 10.00 – 16.00 h

Location: TU Delft or online (t.b.d.)

ECTS: 1 (attendance) – 3 (attendance + passing assigment)

Participation: free for TRAIL/Beta/OML members and PhD students of participating faculties

Registration: this course is fully booked. For a place on the waiting list, please send an e-mail to info@rstrail.nl.

TRAIL OML Course Data Analysis and Statistics – Spring 2021