Probability and Statistics C
The main goal of this course is to teach inicial concepts about the statistics and probability. The students will be prepared to easily handle the requirements of a professional activity, concerning probabilities and statistics.
Regarding Probabilities it’s intended that students develop capacities to formulate problems concerning the results of random experiences.
Students should also be able to manipulate statistical techniques, in order to analyze parameters of a population such as Confidence Intervals and Hypothesis Testing. Students should also be able to use linear regression as a first approach to statistical modelling strategies.
Regina Maria Baltazar Bispo
Weekly - 4
Total - 52
Basic knowledge in calculus and integration in R.
Montgomery, D. C. e Runger, G. C. (2002). Applied Statistics and Probability for Engineers, John Wiley and Sons.
Ross, Sheldon (1987). Introduction to Probability and Statistics for Engineers and Scientists. Wiley.
Mood, A. M., Graybill e Boes (1974). Introduction to the Theory of Statistics., McGraw-Hill.
Rohatgi (1976). An Introduction to Probability Theory and Mathematical Statistics. Wiley.
Lectures with exposition of the subjects and resolution of application examples, accompanied by problem-solving practical lectures.
1. Basic notions of probability.
2. Random variables and their probability distributions.
3. Random vectors.
4. Some important distributions.
5. Central limit theorem.
6. Point estimation.
7. Interval estimation.
8. Hypothesis testing.
9. Simple linear regression.