After approval at UC, the student should be able to:

1. Apply the techniques of descriptive statistics in the study of a set of data and interpret results;
2. Apply and recognize the concepts of probabilities in assessing situations of uncertainty, particularly in the analysis of diagnostic tests;
3. Identify the theoretical models in real situations;
4. Apply the techniques of statistical inference as a support tool for decision making and interpret the results;
5. Identify the use of the linear model and interpret the estimated coefficients;
6. Identify the use of the logistic regression model and interpret the estimated odds  ratios;
7. Recognize the use of survival analysis models and interpret Hazard ratios;
8. Identify, plan and implement appropriate statistical methodology to analytical and computational problem solving using R (free) software;
9. Analyze, evaluate, interpret the results correctly.

Curricular Unit Form