Lesson 2: Random variables. |
2.1. Definition of a random variable and its distribution function.
2.2. Characteristics of a random variable.
2.3. Main probability distributions.
2.4. Applications of the central limit theorem.
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Lesson 4: Statistical inference. |
4.1 Population, sample and their characteristics. Simple random sampling. Distributions associated with sampling in normal populations.
4.2. Point estimation. Concept of estimator and its properties.
4.3. Confidence intervals in normal populations.
4.4. Hypothesis testing. Formulation of hypotheses. Classic tests in normal populations. |