Teacher
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MORTERA JULIA
(syllabus)
This graduate level course provides an introduction to the basic concepts of probability, common distributions, statistical methods, and data analysis. It is intended for graduate students who have one undergraduate statistics course. Upon completion of this course students will
Appreciate and understand the role of statistics in their own field of study. Develop an ability to apply appropriate statistical methods to summarize and analyze data for some of the more routine experimental settings.
Make sense of data and be able to report the results in appropriate table or statistical terms for inclusion in your thesis or paper. Perform appropriate statistical techniques using Minitab and Hugin and interpret the results/outputs.
(reference books)
Agresti A, Finlay B. (2012) Statistical Methods for the Social Sciences, Pearson. Zani S., Cerioli A. (2007) Analisi dei dati e data mining per le decisioni aziendali, Giuffrè Editore. Anderson (2017) Multivariate statistics. Other educational material like the slides will be available on the course pages website. Other references Levine, D. M., Krehbiel T.C. e Berenson M. L. (2006) Statistica, Apogeo. Jensen, F. B., Graven-Nielsen, T. (2007) Bayesian Networks and Decision Graphs, 2nd ed., Springer Verlag.
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