Description

Theory
1

Theory/Practice
2

Instructors

Luísa Hoffbauer

Contents

(1) Descriptive statistics (2 weeks)
(2) Linear regression (1 weeks)
(3) Probability (1 week)
(4) Probability distributions (5 weeks)
(5) Parameter estimation (3 weeks)
(6) Tests of hypothesis (3 weeks)

Learning Outcomes

O1 To know how to apply methods of descriptive statistics.
O2 To apply simple linear regression models.
O3 To know and understand the probabilities calculus and to know how to calculate probabilities associated with the phenomenon under study.
O4 To be able to characterize probabilistic distributions and apply them in the description of random phenomena.
O5 To infer about population parameters based on sample distributions.
O6 To use statistical software for the application of the methods studied.