Department of Psychology University of

Psychology 414 & 505

Monte Carlo Techniques: Bootstrapping, Randomization and Experimental Statistics

This course is designed to teach computer simulation (Monte Carlo) based statistical techniques, with special emphasis on practical solutions to problems faced by behavioural scientists attempting to publish analyses of small, noisy, data sets in peer reviewed journals.

Three specific topics will be covered:

Students will perform a modest amount of computer programming, but no previous experience in programming is required. Software will be provided.

Log onto E-Learning to download datasets, lecture notes, class readings etc.

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