Princípios de Inferência Estatística

At the end of the curricular unit students should be able to:

1. Understand the concept of the sampling distribution and explain the Central Limit Theorem
2. Identify the distribution of the main sample distributions
3. Explain the impact of sample size on the sampling distribution
4. Set confidence interval (CI) and confidence level
5. Build and interpret a CI
6. Calculate the sample size given point estimate precision
7. Formulate assumptions of statistical tests and decide based on the appropriate test
8. Explain the two types of error and the power of the test
9. Calculate and interpret the p-value
10. State the assumptions and hypotheses in ANOVA, calculate the ANOVA table and apply the F test
11. Apply multiple comparison tests
12. Distinguish parametric and non-parametric tests
13. Explain the procedures of the main non-parametric tests
14. Apply non-parametric tests
15. Describe the main sampling methods
16. Discuss sources of bias in sampling studies