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.

After this course attendees are able to:

1. Recognize the probability density functions of various discrete (Bernoulli, Binomial, Geometric, Poisson) and continuous random variables (Uniform, Exponential, Normal).
2. Explain the basic principles behind statistical modelling (law of large numbers, Central Limit Theorem).
3. 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.
4. 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).

For more information see the attached course desription.

Lecturers: Dr. Maarten Kroesen and Dr. Eric Molin

Course dates: 19 April, 10 May, 31 May 2017

ECTS: 1 (attendance) – 3 (attendance + assignment)

Time: 10.00 -16.00 h.

Location:  Utrecht

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

Registration: This course is fully booked!

trail-oml-course-data-analysis-and-statistics-2017

This course is part of the GP-OML program (www.GP-OML.nl)