| Lesson 2. An introduction to Statistics. One dimensional descriptive statistics. |
2.1 Statistics and scientific research.
2.2 Basic concepts: population, sample, variables.
2.3 Tabulated and graphical description.
2.4 Measures of central tendency, spread, skewness, and kurtosis. |
| Lesson 4. Introduction to Statistical Inference and Probability models. |
4.1. Introduction to Statistical Inference.
4.2. Probability: basic concepts.
4.3. Random variable.
4.4. The Normal distribution. Applications.
4.5. Point estimation. The sample mean.
4.6. Calculation of the sample size.
4.7. Confidence intervals for mean and proportion.
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| Lesson 5. Testing of Hypothesis. |
5.1 Definition and classical methodology of testing: types of hypothesis, associated errors, significance level, critical region.
5.2 p-value.
5.3 Two sample t-test
5.4 chi-squared test of independence.
5.5 Shapiro-Wilks test for normality.
5.6 Pearson correlation test. |
