Credit hours
In-class work per week |
Practice per week |
Credits |
Duration |
Total |
2 |
2 |
8 |
15 weeks |
120 hours |
Instructor
Eduardo Eugenio Spers
Lucilio Rogerio Aparecido Alves
Pedro Valentim Marques
Rodolfo Hoffmann
Objective
The aim of the course is to introduce students to basic approaches of probability, statistical inference
and regression models with enfasis on interpretation and applicability to management problems. For
this course is divided into two distinct parts which initially address the role of descriptive statistics,
probability and statistical inference. The second part presents regression models and multivariate
analysis, highlighting the use and interpretation relating to response of variables and explanatory
variables.
Content
Introduction to quantitative methods; statistical knowledge bases and mathematical, statistical
modeling, structuring of data for research, modeling systems, regression models, multidimensional
scaling and multivariate data analysis.
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