Statistics for Management

DESCRIPTION

The main objective of this course is to contribute with approaches, techniques, and methods that support the decision-making process in management and economics. More specifically, it is intended that students obtain basic and robust training in descriptive and inferential statistics, file and data processing, preliminary analyses, and graphical representations, using appropriate software, in order to promote a more complete and coherent research in the area of Management. More than presenting and exploring techniques and methods, it is intended that students understand their usefulness and how they can provide answers to management and research questions. In this sense, since the very first classes, students are encouraged to put into practice theoretical knowledge, defining research problems and concrete objectives, as well as selecting variables and methods that allow them to respond to the problem and achieve the objectives set. The learning of concepts and techniques is stimulated through the project learning method.

As learning outcomes, it is intended to promote:

1) The ability to design, plan and conduct research processes and to compare results with observed facts
2) Model-building and critical thinking skills
3) The implementation and use of information and communication technologies to support decision-making
4) The creation of specific skills in data analysis to support decision-making in Management.